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",isbn:"978-1-80356-966-6",printIsbn:"978-1-80356-965-9",pdfIsbn:"978-1-80356-967-3",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"f86a9f720cc3ac0f1c385d0367ea89b9",bookSignature:"Dr. Fiaz Ahmad and Prof. Muhammad Sultan",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11624.jpg",keywords:"Agricultural Waste, Reuse, Reduction, Soil Health, Recycling, Agriculture and Environment, Modelling and Simulation, Agro-Industrial Waste, Bioresource Processing, Processing and Management, Crop Residue, Forest Waste",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 8th 2022",dateEndSecondStepPublish:"June 16th 2022",dateEndThirdStepPublish:"August 15th 2022",dateEndFourthStepPublish:"November 3rd 2022",dateEndFifthStepPublish:"January 2nd 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Fiaz Ahmad is a researcher in the field of Agricultural Engineering with fifteen years of field and academic experience, currently in charge of the Agricultural Machinery Design Laboratory at Bahauddin Zakariya University. He applied for two patents at the national level.",coeditorOneBiosketch:"A renowned researcher in the field of Agricultural Engineering with 14 years of academic experience at Bahauddin Zakariya University. Winner of various prestigious fellowships, awards, and research grants. Published 250+ articles along with several books and chapters. Guest editor of seven ISI-SCI journals for publishers like SAGE, MDPI, and Frontiers.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"338219",title:"Dr.",name:"Fiaz",middleName:null,surname:"Ahmad",slug:"fiaz-ahmad",fullName:"Fiaz Ahmad",profilePictureURL:"https://mts.intechopen.com/storage/users/338219/images/system/338219.png",biography:"Dr. Fiaz Ahmad is an assistant professor and lecturer at the Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan. He obtained his Ph.D. in Agricultural Bioenvironmental and Energy Engineering from Nanjing Agriculture University, China, in 2015, and completed his postdoctorate in Agricultural Engineering from Jiangsu University, Zhenjiang, China, in 2020. He was awarded a fellowship from the Higher Education Commission of Pakistan for Ph.D. studies and from the Chinese Government for post-doctoral studies. He earned a BSc and MSc (Hons) in Agricultural Engineering from the University of Agriculture, Faisalabad, Pakistan, in 2004 and 2007, respectively. He is the author of more than fifty journal and conference articles. He has supervised six master’s students to date, and is currently supervising six master and two doctoral students. Dr. Ahmad has completed three research projects with his research interest focusing on the design of agricultural machinery, agricultural waste management, artificial intelligence (AI), and agricultural bioenvironment.",institutionString:"Bahauddin Zakariya University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Bahauddin Zakariya University",institutionURL:null,country:{name:"Pakistan"}}}],coeditorOne:{id:"199381",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sultan",slug:"muhammad-sultan",fullName:"Muhammad Sultan",profilePictureURL:"https://mts.intechopen.com/storage/users/199381/images/system/199381.png",biography:"Muhammad Sultan is an Assistant Professor at the Department of Agricultural\r\nEngineering, Bahauddin Zakariya University, Multan (Pakistan). He completed his Ph.D.\r\nand Postdoc from Kyushu University (Japan) in the field of Energy & Environmental\r\nEngineering. He was an awardee of MEXT and JASSO fellowships (from the Japanese\r\nGovernment) during Ph.D. and Postdoc studies, respectively. He also did a Postdoc as\r\na Canadian Queen Elizabeth Advance Scholar at Simon Fraser University (Canada) in\r\nthe field of Mechatronic Systems Engineering. He worked for Kyushu University\r\nInternational Institute for Carbon-Neutral Energy Research (WPI-I2CNER) for two years.\r\nCurrently, he is working on 4 research projects funded by the Higher Education\r\nCommission (HEC) of Pakistan. He has completed six projects in past in the field of\r\nagricultural engineering. He has supervised 10+ M.Eng. and Ph.D. thesis and 10+\r\nstudents are currently working under his supervision. He has published 120+ journal\r\narticles, 100+ conference articles, 13 book chapters, and 6 books. He is serving as guest\r\neditor for the journals like Sustainability (MDPI), Agriculture (MDPI), Energies (MDPI),\r\nAdvances in Mechanical Engineering (SAGE), Frontiers in Mechanical Engineering, and\r\nEvergreen Journal of Kyushu University. His research is focused on developing energy-\r\nefficient temperature and humidity control systems for agricultural storage, greenhouse,\r\nlivestock, and poultry applications. His research keywords include desiccant air-\r\nconditioning, evaporative cooling, adsorption heat pump, Maisotsenko cycle (M-cycle),\r\nenergy recovery ventilators; adsorption desalination; wastewater treatment.",institutionString:"Bahauddin Zakariya University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Bahauddin Zakariya University",institutionURL:null,country:{name:"Pakistan"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"5",title:"Agricultural and Biological Sciences",slug:"agricultural-and-biological-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"440212",firstName:"Elena",lastName:"Vracaric",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/440212/images/20007_n.jpg",email:"elena@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"10454",title:"Technology in Agriculture",subtitle:null,isOpenForSubmission:!1,hash:"dcfc52d92f694b0848977a3c11c13d00",slug:"technology-in-agriculture",bookSignature:"Fiaz Ahmad and Muhammad Sultan",coverURL:"https://cdn.intechopen.com/books/images_new/10454.jpg",editedByType:"Edited by",editors:[{id:"338219",title:"Dr.",name:"Fiaz",surname:"Ahmad",slug:"fiaz-ahmad",fullName:"Fiaz Ahmad"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6418",title:"Hyperspectral Imaging in Agriculture, Food and Environment",subtitle:null,isOpenForSubmission:!1,hash:"9005c36534a5dc065577a011aea13d4d",slug:"hyperspectral-imaging-in-agriculture-food-and-environment",bookSignature:"Alejandro Isabel Luna Maldonado, Humberto Rodríguez Fuentes and Juan Antonio Vidales Contreras",coverURL:"https://cdn.intechopen.com/books/images_new/6418.jpg",editedByType:"Edited by",editors:[{id:"105774",title:"Prof.",name:"Alejandro Isabel",surname:"Luna Maldonado",slug:"alejandro-isabel-luna-maldonado",fullName:"Alejandro Isabel Luna Maldonado"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10359",title:"Landraces",subtitle:"Traditional Variety and Natural Breed",isOpenForSubmission:!1,hash:"0600836fb2c422f7b624363d1e854f68",slug:"landraces-traditional-variety-and-natural-breed",bookSignature:"Amr Elkelish",coverURL:"https://cdn.intechopen.com/books/images_new/10359.jpg",editedByType:"Edited by",editors:[{id:"231337",title:"Dr.",name:"Amr",surname:"Elkelish",slug:"amr-elkelish",fullName:"Amr Elkelish"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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It is known that prevention campaigns and early detection interventions can avert cancer cases and deaths in high- and low-resource settings. Although many countries and communities have limited resources for screening, several common cancers among females such as Cervical Cancer (CC) have known means of prevention and/or early detection that can be applied in resource-appropriate settings [1].
\nCervical cancer is one of the female reproductive system cancers, and it is a fundamental cause of cancer morbidity and mortality worldwide. This complex disease is relatively common with estimates of more than half a million new cases in 2018, and it accounts for 13% of all cancers in women in developed regions [2, 3]. The highest incidence rates (greater than 20 per 100,000 women) are found in Eastern, Western, and Southern Africa, South-Central Asia, South America, Melanesia, and Central Africa [3].
\nThere are different tools to achieve CC elimination. The World Health Organization (WHO) has identified three critical targets to the elimination of this cancer type mainly in the increased coverage of: 1) Human Papillomavirus (HPV) vaccination, 2) Screening for premalignant disease with an HPV test, and appropriate management of women who screen positive, and 3) Reducing mortality from cervical cancer by providing appropriate treatment [4].
\nIn recent years HPV vaccination in high-income countries has resulted in dramatic decreases in HPV infection and associated cervical disease as a primary prevention strategy for CC. Unfortunately, this has not happened in low- and middle-income countries where the access to the vaccination is limited mainly by the high cost, and therefore most women and girls at most risk cannot be protected. As a secondary prevention strategy, progress has been made in cervical precancer screening and treatment, but we must accelerate this momentum to reduce incidence and mortality worldwide to the meager rates found in wealthier countries [5]. In this sense, given that the access of the different CC prevention strategies is not equitable between countries or even inside of each country, due to the differences in infrastructure and access to health care systems so marked that we could find, it is necessary to search new tools and screening strategies. One of these strategies could be constituted by the markers present in the scent of CC cells.
\nThe analysis of odors or volatile biomarkers emitted by cancer cells is of great value in the development of new diagnostic tests as low-risk methods for the early cancer diagnosis and a regular screening for all women, including the marginalized or disadvantaged. These volatile signatures are present in different biofluids and show a physiological status. In cancer, the analysis of these molecules has been demonstrated as a rapid and noninvasive alternative by analytical and biological ways as the use of trained dogs for the detection of several cancers.
\nDogs can smell a trace of volatile odorous molecules or biomarkers (parts per trillions) emitted in different biofluids [6]. They have an extraordinary ability to recognizing odorous biochemical signature expressed only in ailing individuals but not in healthy individuals, in much earlier and better ways and with an accuracy comparable or superior to readily available sophisticated diagnostic instruments of the present time [6, 7]. The extraordinary canine sense of smell could avoid the unnecessary painful procedures on patients and minimize the time and expenditure on the diagnosis made through the biopsy and other tests having compromised sensitivity, specificity and predictive values resulting into inadequate accuracy. In CC, it could be an effective promissory weapon in fighting this disease and saving women’s lives [7].
\nAmong of the gynecological cancer types, CC must be the most detectable cancer due to access to the anatomical target. Unfortunately, this cancer type is the fourth most frequent cancer in the female population worldwide. More than 85% of cases occur in developing countries in which this malignancy is a public health concern due to its high mortality rates, provoked at least by late detection and lack of coverage for screening procedures [8]. Prior to the appearance of CC, women develop a precancer period that spans approximately two decades. During this extensive period, cervical epithelium cells present morphological and molecular changes that could not be typical of a healthy state neither of cancer; they are in transition state, as in the “limbo”. Thus, these abnormal or precancer cells are known as squamous intraepithelial lesions (SIL) classified as low grade (LSIL) if they only affect the first third of the cervical epithelium, or high grade (HSIL) if they affect more than 50% of cervical epithelium layer [9].
\nLike other cancers, CC is a multifactorial disease, although there are different risk factors that could be controlled to prevent the development and progression of precursor lesions to invasive cancer. Among these risk factors are the onset of active sexual during the teen period, multiple sexual partners, overuse and uncontrolled of hormonal contraceptives, drug abuse, inadequate and overuse of antibiotic regimens, lack of protection during sexual intercourse and absence of routine gynecological inspections, among others; however, the main etiological factor associated with this type of cancer is the persistent HPV infection considered as sexually transmitted infection [10, 11].
\nThe HPV is an infectious agent that is transmitted through sexual contact and affects the anus-genital and oropharyngeal tracts. This involves the transmission of one or more viral genotypes that infect the epithelia, which ones are classified as low risk (LR-HPV) and high risk (HR-HPV) according to their carcinogenic potential. Persistent infection by any of the HR-HPV genotypes is the cause of the vast majority of SIL [12]. It should be noted that the process of cellular transformation of normal cells to precancerous cells and invasive carcinoma involves a long period of time, as already mentioned, which makes the prevention of this neoplasm 100% feasible through the SIL screening.
\nThere are two approaches for CC screening and its precursor lesions. The first one is a cellular level approach (micro) involving cervical Pap smear cytology, and the second one is a tissue level approach (macro) through visual inspection iodine Lugol (VILI) or visual acid acetic inspection (VIA) and colposcopy [9].
\nA conventional Pap smear, which involves removing epithelial cells from the surface of the cervix with a brush (cytobrush or cervix brush) or spatula and then transferring them to a glass slide where they are prepared with Pap stain to be examined by a cytotechnologist or pathologist and discriminate between normal and abnormal cells by using conventional light microscopy. Colposcopy involves the inspection of the cervical tissue through a colposcope which allows magnification of the cervix up to 40X. The solutions already mentioned can be used to reveal changes in maturation, differentiation or abnormal epithelium vasculature that indicate the presence of SIL or CC [13]. It is worth mentioning that in the last years HPV testing is replacing cytology as the preferred cervical screening method; however, the interpretation of the HPV testing must be carried out with reservation [14].
\nHPV infection is one of the most prevalent sexually transmitted infections, generally symptomatic, with a worldwide prevalence in women with normal cytology of 11.4% and 99% in CC cases. Nevertheless, HPV infection is a necessary but not a sufficient cause of CC. Therefore, the positivity rate of HPV test is higher than cytology and that most positive test results do not indicate a high absolute risk of CC [15, 16]. These results could interpret as “false positive” CC screening results according to the use of this test as a screening tool for this cancer. This does not mean that HPV is not present; instead, we are referring to the detection of only an HPV infection that is not destined to cause CC [14].
\nAs we know, CC is a preventable disease, and it has been shown that cervical cytology or Pap smear has been decreased the mortality rate of CC in developed countries. Unfortunately, this has not happened in low- and middle-income countries in which almost 9 out of 10 cervical cancer deaths occur, continuing as a priority health problem due to different social and technical factors involved [2].
\nCC screening program needs to be sufficiently accurate and acceptable for the target population by way of allowing the early detection of the disease and the triage of screen-positive women who requires colposcopy or treatment. To ensure the effectiveness of the screening, it is necessary a coverage rate of at least 80% of the population [2, 17]. Nevertheless, average Pap smear coverage is approximately 18.5% in developing countries, 63% in developed countries and 39.6% across the globe. These percentages could differ in each country but are clear that in any case, the coverage of Pap smear needs to be improved [18].
\nPap smear and colposcopy are highly invasive methodologies since they require the introduction of a vaginal speculum to gain access to the cervix, thereby compromising the intimacy of the woman. Most of the screened women suffer shame, pain, inconvenience, or nervousness during the screening procedure, or can experience lower abdominal pain or vaginal bleeding in the days following the test. Women have reported a lack of information before or during gynecological inspections, and sometimes, they have referred a disrespectful attitude and a lack of engagement from the medical staff, resulting on women delaying their gynecological inspection or avoiding it altogether [19].
\nThere are other social aspects interfering with the coverage of Pap screening in the risk population. Inadequate knowledge about the purpose and benefits of Pap smears, the fact that many screened and non-screened women do not know the meaning of an abnormal result. The fear and anxiety of having cervical abnormalities which affect the future decision to have a Pap test, social and health inequalities between women as a lack of health insurance, faults of organization in health-care programs involving in the appointment scheduling and the long waiting times to get a result, religious beliefs, taboo, fear of stigmatization, etc. [20, 21].
\nThere are several technical limitations of the Pap smear screening as the specimen collection that imply collection and processing time, the procedure as the smear is taken, the quality of the samples, processing standards, lack of training of cytotechnologists for the accurate interpretation of results, the loss of concentration and fatigue that suffer by a repetitive task (up to 50 times a day) of visualization of slides. This provokes the rates of false-negative that can conduce to an increase in the cost CC screening and bad prognosis for the patients, as well as, the false-positive results that could cause psychological stress, overdiagnosis and overtreatment [9, 13].
\nTo find alternative tools in cancer diagnosis in an earlier and more precise manner, researchers have explored the use of Metabolomics, specifically the volatile organic compounds (VOC) to detect these complex diseases.
\nVOC are carbon-based chemicals, volatile at room temperature and pressure, and source of most odors. Being produced during metabolic processes in millions of cells simultaneously, thus they are potentially releasing in an extracellular way on a detectable scale and may be emitted from different areas of the body prone to odor production e.g., scalp, axillae, feet, groin, oral cavity. These also can be excreted through different biofluids as saliva, breath, blood, sputum, feces, sweat, urine and may serve as ideal clinical biomarkers for several pathophysiological processes. The entire set of VOC produced by an organism is called Volatilome, and their accumulation inside and outside of the body reflects a unique metabolic state in an organism [6, 22, 23]. This knowledge is too old; the ancient Greek and Chinese human noses were the first to identify and describe the diagnostic potential of VOC in the diseases through the smell of different biological samples such as urine and sputum. Based on this ancestral knowledge, we know the VOC potential in the medical field, and ever since, our sense of smell has been used in medical practice as a more precise and less invasive diagnostic tool for the detection of several diseases [24]. Among the several diseases characterized by a specific odor are diabetes (rotten apple odor in the breath), scurvy (putrid body odor), cholera (rice water), trimethylaminuria (rotten fish-like odor in the breath, vaginal fluid, sweat and urine), phenylketonuria (musty odor), cystic fibrosis (chloride), or typhoid fever (baked bread body odor), etc. [25, 26].
\nInterestingly, in the last few decades, the diagnosis potential of VOC has focused on the search of the volatile profiles of many cancers in all the biofluids as the urine, feces, exhaled breath, and saliva of patients. The rationale for this is that cancer cells have different metabolic or biochemical requirements in comparison from normal cells, due to the genetic alterations that acquire and that allow them to proliferate outside the context of normal tissue development [27]. Therefore, the metabolic and bioenergetic alterations presented by tumor cells lead to a VOC profile different from that of healthy cells. These VOC profiles are useful for the diagnostic of cancer, predict patient response towards chemotherapies or treatment and monitor disease recurrences [28].
\nFor example, the lack of sensitive and specific biomarkers for the early detection of prostate cancer led a Portuguese research group to investigate the performance of VOC present in the urine of patients as potential markers for this cancer in a metabolomic approach based on the analytical tool, the Gas Chromatography–Mass Spectrometry (GC–MS), finding a urinary profile of VOC different from that of cancer-free subjects with 78% sensitivity, 94% specificity and 86% accuracy [29].
\nA research group in the UK assessed the utility of VOC as feces biomarkers for colorectal neoplasia by headspace extraction followed by GC–MS. This group found that Propan-2-ol was the volatile organic compound most strongly associated with cancer, and 3-methylbutanoic acid or DL-menthol was the only volatile organic compound negatively associated with cancer. These VOC showed a diagnostic ability of sensitivity 87.9% and specificity 84.6% in the identification of colorectal adenocarcinoma [30].
\nAnother example was research in which the gastric cancer was correlated with specific VOC biomarkers in the exhaled breath of a South American population. The exhaled VOC were analyzed by GC–MS and by a chemical gas sensor based on gold nanoparticles functionalized with octadecylamine ligands. Six VOC showed statistically significant differences between the cancer patients and the controls group (e.g., hexadecane and octadecane in the gastric cancer group, while eicosane and 1-cyclohexyl-2-(cyclohexylmethyl) pentane were identified as biomarkers in the control group). The sensor data responses to the breath samples yielded 97% accuracy, 100% sensitivity and 93% specificity [31].
\nRecently in Japan, the salivary metabolomic profile of oral squamous cell carcinoma was established through VOC analysis as potential biomarkers for the diagnosis of oral cancer through a method combining thin-film microextraction based on a ZSM 5/polydimethylsiloxane hybrid film coupled with GC–MS in saliva samples of oral cancer patients and healthy controls in which eighty kinds of volatile metabolites that were detected and identified and were classified as alcohols, ketones, hydrocarbons, aldehydes, organic acids, esters, phenols, etc. Among them, twelve COV were selected as potential oral cancer biomarkers for their use as non-invasive tools for the possible diagnosis of this cancer [32].
\nThe above were just some examples of the vast literature that currently exists on the analysis of VOC for the diagnosis of different cancers through non-invasive samples and analytical methods.
\nAs it was mentioned already, the analysis of VOC as cancer biomarkers in diverse biofluids is desirable because it allows a repeated sampling and a non-invasive and quick analysis. In this sense, there is great potential for the development and clinical application of VOC analysis in the diagnosis and monitoring of cancer [33].
\nThe number of studies demonstrating the potential of VOC in cancer diagnosis has increased in the last decades due to analytical chemistry advancements that have made possible the quantitative analysis and comparison of VOC of cellular origin [6, 23].
\nFrom the several analytical techniques that exist, the GC–MS, Selected Ion Flow Tube Mass Spectrometry (SIFT-MS), Proton Transfer Reaction Mass Spectrometry (PTR-MS), Proton Transfer Reaction Time of Flight (PTR-ToF) and Ion Mobility Spectrometry (IMS) have been the most used to separate and identify VOC. These are sophisticated and valuables stationary analytical chemical instruments for the discovery of biological scents [34].
\nHowever, despite the low detection limits and high sensitivity offered by these methodologies, they present certain limitations that have prevented their routine application as screening methods. These require high levels of technical expertise and lengthy instrument run times (tens-of-minutes to hours) for detailed chemical analysis. Most of them, exceptionally high-resolution mass spectrometers, are extremely expensive and require expert maintenance. Furthermore, data interpretation, especially for non-targeted analyzes, may initially take many hours per sample until sufficient statistical results are accumulated to develop a targeted approach. Finally, they require infrastructure and trained personnel for their operation [35].
\nDogs have excellent odor detection capabilities in a vast range of fields. Their olfaction is a fundamental sense that let them perceive and comprehend the world around them. Humans have harnessed the canine sense of smell for the detection of different targets as an orthodox manner, such as explosives, land mines, narcotics, missing persons (forensic area), and invasive or endangered species [34, 36]. Right now, in this pandemic situation worldwide, dogs have been trained for COVID-19 early detection [37]. The question arises, why not use the canine olfactory for cancer detection?, nevertheless in the last decades, the use of canine olfaction as a diagnostic tool for identifying preclinical disease, especially cancer in biological samples has increased [34, 38].
\nNowadays, there are a considerable number of publications using trained dogs to sort biological samples for follow-up and future diagnostics [31]. Several authors have published research suggesting that dogs can sort dozens of samples, including blind replicates and known control samples in a few minutes and may be able to detect lung, breast, prostate, ovarian, and melanoma cancers by smelling skin lesions, urine, exhaled breath, and surgically extracted tumors [35, 39].
\nThe first report of dogs’ potential to detect cancer was published in 1989 in the UK when a pet dog spontaneously detected its owner’s melanoma, saving her life. After it, several additional cases of spontaneous cancer detection by dogs were reported, this caught the attention of the scientific community, and canine olfaction began to be used in the search for increasingly sensitive and specific diagnostic techniques for diseases as cancer where mass screening and early diagnosis could be improved [40].
\nIn pilot work, a research group demonstrated the validity of using dogs as a biological system to examine exhaled breath in the diagnostic identification of lung and breast cancers. Its results showed an overall 99% sensitivity and specificity for canine scent detection among lung cancer patients and controls compared to biopsy-confirmed conventional diagnosis and 88% of sensitivity and 98% of specificity among breast cancer patients and controls [41].
\nAnother research group in France, trained a Belgian Malinois shepherd by the clicker training method for prostate cancer detection on human urine samples. Its results showed that dogs could be trained to detect prostate cancer by smelling urine with a significant success rate (91% of sensitivity and specificity) suggesting that prostate cancer gives an odor signature to urine and it could be used as a potential screening tool [42].
\nIn another research study, the ability of dogs to detect ovarian cancer from plasma samples was evaluated and how the odor associated to this cancer is affected by the treatment to reduce tumor burden, including surgery and five courses of chemotherapy. The dogs showed high sensitivity (97%) and specificity (99%) for the detection of ovarian cancer patients’ plasma and indicated positive samples from patients who had recurrences. For the above, the dogs offer an outstanding assessment of ovarian cancer prognosis based on the specific odor in the blood which could enhance primary diagnosis and enable earlier relapse diagnosis and consequently an increase in patient’s survival [43].
\nAt present, Medical Detection Dogs in the UK an organization that is at the forefront of innovative research in the dogs’ ability to detect the smell of human diseases and save lives. This organization focuses on detecting the VOCs associated with prostate cancer and colorectal cancer using trained dogs as a non-invasive method that can detect cancer at an early stage could both increase uptake of the screening and improve health outcomes [44].
\nAnother current medical innovation research program is KDOG sustained by French Institute Curie (Paris) who is elaborating a simple, non-invasive, and cost-effective breast cancer screening method, based on canine detection. This method is contactless between the animal and the patient and the dogs’ success rate in cancer detection that has been reported was about 100% [45].
\nIssues concerning CC detection make it necessary searching for alternatives that help to increase the early screening coverage with greater percentages of sensitivity and specificity in screening and diagnostic tests. The introduction of methods capable of detecting virtually invisible -a single molecule among a billion or trillions of compounds- changes in the cell through the analysis of cells “odor” have much in their favor in practical applications. In this way, the key could rely upon the poorly explored field of the metabolomics of the cervicovaginal epithelium. Biotechnological and analytical systems such as dogs and analytics as GC–MS may be alternatives to current tests which leaves us with two good panoramas: 1) a laboratory analytical test; 2) a biotechnological field test; both of which use a “volatile biopsy”, basically a scent sample, obtained without penetrating the human body at all. Our work team has proposed a device specifically made for this purpose [46, 47].
\nThis device that our research group has developed is a gadget worn by the patient for a defined period, after which is simply stored in a container -provided by us- and mailed to the recipient, avoiding the stress of queuing in a hospital. Our device quickly collects in an
In this unorthodox scenario (for some people), this device is scanned by a trainer-dog binomial test carried out in seconds. In such an analysis, our gadget eliminates the shock some people could have by watching a dog “deciding their fate”. Our results in both scenarios show that a sample’s VOC profile result by the analytic test and detected by a trained dog, discriminates between cancerous and non-cancerous samples with more than a 90% sensitivity and specificity. These data are correlated afterwards to histopathological observation as the gold standard, suggesting that the device has a great value proposition [46, 47].
\nThese proposals represent the ideal diagnostic tests for screening CC because they are non-invasive, low cost, accurate and partially portable, therefore meeting the requirements for a good screening test according to WHO. This established that a screening test must be sufficiently accurate to detect the condition earlier than in the absence of screening [48].
\nRecently another research group in Japan trained a dog to distinguish urine samples from cervical cancer patients from those of the controls, showing that cancer detection by dog sniffing can be a non-invasive, cost-effective screening technique for CC [49]. This report supports our proposal that the canine nose can be used and developed for CC detection.
\nThe use of screening dogs is a real issue, for instance, they play vital roles helping in natural disasters or detecting drug or weapons trafficking as we have mentioned before; in the case of GC–MS itself is used again in the detection of drug trafficking, anti-doping or as a standard test in food products; then, why then should not they be used in the health-care industry? An example is the exhalomic test “Hearts Breath Test for Grade 3 Heart Transplant Rejection detection”. Dr. Phillips et al. at Menssana Research Inc. in New Jersey USA developed this FDA approved test. This test detected a specific metabolomic profile and had opened a vast opportunity in the marketing of metabolomic or volatolomic tests [50].
\nPap test was not specifically developed to detect neither human cervical lesions nor HPV infection [44]. Moreover, it has not been subjected to a rigorous analysis regarding its sensitivity and specificity; however, it is the accepted test for detecting cytomorphological changes in the cervicovaginal epithelium but not for HPV. Epidemiological studies show that HPV detection does not necessarily indicate cancer, so it is considered necessary but not enough for CC development [51].
\nOn the other hand, the CC research has served to define that prior to this type of invasive lesions, there are precursor or pre-invasive lesions as SIL, thanks to epidemiological studies, it has been determined that less than 10% of women infected with HPV will develop CC [52]. So far, it is unknown what factors are indispensable for the progression of these lesions causing
In summary, our proposals are affordable and accessible for any women and could be an important weapon in this war against CC as a preventive measure deployed by health services, all this granting the public and government departments accept them.
\nEarly detection saves lives. Therefore, it is necessary to implement new and alternative technologies that allow the development of accessible diagnostic methods that cover at least some of the limitations presented by conventional screening tests for the detection of diseases such as cancer, especially Cervical Cancer.
\nThe canine detection of odors or volatile profiles emitted by cancer cells is a portable, highly sensitive and specific tool which could be used as a screening alternative (
The CC and its precursor lesions detection is a priority health concern in different countries, therefore having an analytical alternative (GC–MS) and a biological alternative (canine smell) for screening could be a great support technique for conventional methods offering a non-invasive, fast, and accurate detection that can be carried out repeatedly and that would also be useful for monitoring the disease.
\nApplications for these tools extend to providing much needed medical attention for women from cultural backgrounds imposing several prohibitions, deep-rooted cultural taboos, religious beliefs, shame, or lack of health coverages. We thought that a “with a little help” to current methods by using improved, non-expensive and innovative procedures will conduct to accurate and timely diagnostics for this cancer type. Unfortunately, for both analytical and bio-detection methods, there is no consensus in the methodologies used or in the results obtained, thus this is a call to join forces with the scientific and social communities (research groups) for the replication of the studies that lead to the future implementation of these methodologies for clinical diagnosis.
\nThe research team wants to thank every woman who accepted involvement in this project, an early Cervical Cancer diagnosis saves women. To oncologists, gynecologists, and students who collaborated with us to ‘put a grain of sand’. In the last moment Miriam Rodriguez was considered as co-corresponding. Finally, to IMSS-CIS and Dr. Tomás Hernández-Quijano for support our research and new approach for our women.
\nAccording to Lance and colleagues, spasticity is a “…motor disorder characterised by a velocity dependent increase in the tonic stretch reflex with exaggerated tendon jerks, resulting from hyperexcitability of the stretch reflex, as one component of the upper motor neuron syndrome…” [1]. Over time, the interest of clinicians on spasticity has increased more and more, topics ranging from pathophysiology to clinical relevance and treatment options [2, 3, 4, 5, 6, 7, 8].
However, in everyday management of patients’ spasticity symptoms, much more complex situation would be there, full of clinical problems. In fact, other positive and/or negative signs may be observed together with increased muscle tone and deep tendon reflexes. Abnormal cutaneous reflexes, spasms, co-contraction, Babinski reflex, and also dystonia, are described as positive phenomena, and weakness, fatigability, and reduced dexterity are considered negative ones. In clinical practice each problem that we have to treat may have different pathophysiological explanations [9]. A central nervous system lesion determines the upper motor neuron syndrome, induced by an interruption of descending pathways, which connect the highest centres to the spinal cord. Alternatively, reactivity of spinal cord circuits may be modified by a direct damage, through a different way to elaborate the input from peripheral afferents. It is important to differentiate immediate to delayed consequences of damage to the highest centres in the CNS. The delayed consequences lead to a rearrangement of reactivity in spinal cord circuits, in which it is considered a basis of spasticity. Moreover, spasticity may itself be modified by the consequences of paresis and immobilisation, i.e. development of contractures. Several pathophysiological mechanisms may explain the development of spasticity due to CNS lesions. These mainly include defective inhibition, such as postsynaptic inhibition of alpha motor neurons or presynaptic inhibition of 1a afferents. There is also a defective excitation of inhibitory interneurons underlying reciprocal inhibition, autogenetic inhibition, or recurrent inhibition [10].
Dystonia is defined as a neurological disorder characterised by sustained or intermittent muscle contractions, determining unusual movements and postures or both. Typically dystonic movements are patterned and twisting and may be tremulous. Often, dystonic movements may be started by voluntary action, worsening with typically an overflow muscle activation (Consensus 2013) [11]. Dystonia classification is based on clinical characteristics and aetiology. Indeed, except for hereditary forms, dystonic syndromes may be caused by birth-related or other physical trauma, infection, and poisoning or due to pharmacological treatments, particularly neuroleptics. The clinical characteristics include age at onset, temporal pattern, body distribution, and coexistence of other movement disorders. The etiologic characteristics are the presence or absence of nervous system pathology and the pattern of inheritance [11].
Focal dystonia is a neurologic movement disorder, due to an incorrect sensorimotor modulation, determining involuntary, excessive muscle contractions. Writer’s cramp is a specific type of focal dystonia that affects the fingers, hand, or forearm. Writer’s cramp is a task-specific dystonia, characterised by hands twisting into odd postures. A specific task induces this sign. Other skilled task-specific movements may induce focal hand dystonia, such as playing a musical instrument, typing, or sewing. Writer’s cramp is known also as musician’s cramp, focal hand dystonia, arm dystonia, finger dystonia, task-specific dystonia, and occupational cramp or dystonia.
Task-specific dystonia like writer’s cramp may appear in anyone. It usually appears between 30 and 50 years of age. Task-specific dystonia, particularly musician’s cramp, is more common in men.
Two types of writer’s cramp could be described:
Simple writer’s cramp, which appears only during writing. The abnormal postures spring up soon after you pick up a pen. So, it only affects the ability to write.
Dystonic writer’s cramp appears not only during writing but also during other activities with your hands, like shaving, dressing, or applying makeup.
Probably, repetitive movements determine a remapping of the brain’s sensorimotor areas. Bad posture of the hands while holding a pen or pencil associated with overuse seems to cause simple writer’s cramp. Dystonic writer’s cramp is less common than simple ones and may represent a symptom of generalised dystonia. In this case, the involuntary movements can appear also during other non-writing tasks, such as using a fork or handwashing. Rarely, writer’s cramp could be the early onset of a generalised dystonia, which is associated with the DYT1 gene [12].
Typically, spasticity is considered as a specific “pyramidal” sign; nevertheless, selective lesions of the primary motor cortex or corticospinal tract often induce hypotonia, deficit, or weakness in distal movements, without inducing spasticity [4]. Only the involvement of non-primary motor areas (premotor and supplementary areas) and the corticoreticulospinal fibres together with cortical lesions may induce spasticity. Corticoreticulospinal fibres sends through the dorsolateral reticulospinal tract descending just anteriorly to the corticospinal tract, a massive bilateral inhibitory projection to spinal motor neurons, which are located in the lateral funiculus of the spinal cord. So the fact that a selective lesion of the anterior limb or the genu of the internal capsula predominantly induces spasticity without an evident motor deficit and vice versa can be explained by the different courses of corticoreticular and corticospinal fibres in the internal capsula. Hence, a lesion involving the corticoreticulospinal fibres will lead to a decreased inhibition (or to an increased facilitation) of the spinal cord and ultimately to spasticity [13, 14]. Three fundamental phenomena occur after a lesion to the central motor pathways assigned to motor command execution:
Among these changes, which gradually develop, spasticity represents the principal sign detectable. A simple definition of spasticity is an
Principal key points:
A tonic stretch reflex.
Mediated by type 1a fibre nerve, predominantly in the muscle spindle. Passive muscle stretch induces exciting of muscle spindle, which sends sensory input back to the spinal cord through monosynaptic way principally but also oligo- and polysynaptic reflexes, which at the end induce an efferent impulse to the muscle, causing contraction.
Velocity-dependent.
Length-dependent.
The term “spastic dystonia” was coined by Denny-Brown in 1966 to define tonic-chronic muscle activity that is present in a spasticity pattern, during rest [15]. Thus, spastic dystonia could be described as a spontaneous overactivity at rest, not induced by a primary triggering factor [14, 15, 16]. It is easy to recognise it in patients with spastic paresis, as spastic dystonia causes specific bad postures in joints and body. For example, in the upper limb, the shoulder can stay internally rotated and adducted with a flexed and pronated elbow and flexed wrist and fingers. Equinovarus deformity represents a specific spastic dystonia in the lower limb, and it is characterised by plantar flexors and/or toe flexors, which may be painful and disabling during walking.
Spastic co-contraction is defined as an “unwanted, excessive, level of antagonistic muscle activity during voluntary command on an agonist muscle, which is aggravated by tonic stretch in the co-contracting muscle” [13]. Spastic co-contraction in spasticity pattern is a descending phenomenon, most probably due to misdirection of the supraspinal drive. It may be caused by loss of reciprocal inhibition during voluntary command [9, 10]. So, voluntary command of an agonist muscle is the first step, which induces spastic co-contraction. In patients with good or fairly good motor control, spastic co-contraction is certainly the most disabling form of muscle overactivity, because it obstacles muscle physiological muscle voluntary recruitment.
For each movement evaluated, the corresponding muscles and joints are stretched at a very slow speed, in order to keep below the threshold for eliciting a stretch reflex. The angle at which soft tissue offers a maximum resistance is defined as the passive range of motion for that joint [17].
For each movement evaluated, the clinician should stretch the corresponding muscles and joints as fast as possible for the examiner. The spasticity grade is determined by the joint angle at which catch or clonus appears, according to Tardieu scale [18].
For each passive movement evaluated at first, the clinician asks the patient to carry out an active movement at maximal range, until the active movement produced by the agonist muscles is contrasted by the passive resistance together with the spastic co-contraction of antagonist ones. This angle measure is the effective active range of motion [18].
Tardieu score is a scale realised to measure spasticity that evaluates resistance to passive movement at both slow and fast speed. Individuals are evaluated both in in sit and supine position. There are two types of measures:
Quality of muscle reaction.
Angle of muscle reaction.
The quality of muscle reaction is scored as follows (range 0–4):
0. No resistance throughout the course of the passive movement.
1. Slight resistance throughout the course of the passive movement, followed by release.
2. Clear catch at precise angle, interrupting the passive movement, followed by release.
3. Fatigable clonus (<10 seconds when maintaining pressure) occurring at precise angle.
4. Infatigable clonus (>10 seconds when maintaining pressure) occurring at precise angle.
In order to consider joint angle, speed movement has to be defined:
V1 is slow as possible.
V2 speed of limb falling under gravity.
V3 moving as fast as possible.
Regarding the joint angle, modified Tardieu describes:
R1 as the angle of muscle reaction.
R2 as the full PROM.
The angle of full ROM (R2) is defined at a very slow speed (V1). The angle of muscle reaction (R1) is detected when a catch or clonus appears during a quick stretch (V3) [19].
Ashworth scale, original version (1964), is a test which quantifies resistance to passive movement, with respect to a joint and with varying degrees of velocity. Scores range from 0 to 4:
0. No increase in tone.
1. Slight increase in tone giving a catch when the limb was moved in flexion or extension.
2. More marked increase in tone but limb easily flexed.
3. Considerable increase in tone, passive movement difficult.
4. Limb rigid, sometimes fixed in flexion or extension.
The modified Ashworth scale (Bohannon & Smith, 1987) is similar to the original one, except for a 1+ scoring category to indicate resistance through less than half of the movement [20].
It’s demonstrated that burden of care is higher in neurological patients who developed spasticity than that of those without it, in particular regarding treatment costs, quality of life, caregiver burden, and the effects of comorbidities [21]. The treatment of muscle overactivity may be considered when the condition is disabling. Muscle overactivity usually impairs motor command, so this itself justifies the treatment. Moreover, independently from the aetiological context, it contributes to impair patient’s function [22]. Nevertheless, not all patients with muscle overactivity need a specific treatment. Treatment in spasticity should be carried out only after rigorous clinical analysis, in order to determine the severity of functional impairment. A multidisciplinary approach is necessary in order to obtain this specific assessment, being different according to patient’s clinical condition; it may include variably physician, physical therapist, occupational therapist, nurse, and/or caregiver [22]. In order to obtain an individual, task-oriented therapeutic strategy, it is necessary to analyse a list of personal measurable objectives, which may be different for each patient. The clinical follow-up is required in order to show the benefits as well as adverse events. Muscle spasticity, which usually is responsive to drug treatment, is not the only motor impairment in spastic paresis. It is necessary also that physiotherapy is associated to drug treatment, in order to obtain maximum gain in paresis. For example, stretch programmes can be used to treat soft tissue shortening. Therefore, before treatment, the following three questions must be answered:
Is muscle overactivity handicap an activity of daily living? Only after a detailed analysis of the functional impairment induced by spasticity, it is possible to carry out an appropriate treatment, which could be really effective to improve patient’s quality of life.
Is disability caused by muscle spasticity, or is it only a comorbidity? In the latter case, which components are involved? It is important to specify the quality of motor control and weakness. If motor impairment is induced or worsened by muscle overactivity, its treatment is to be considered mandatory, in order to be helpful to the patient [23].
Does muscle overactivity involve one specific muscle group, or does it spread to other? The correct therapeutic approach depends on the answer.
Pharmacological interventions for spasticity can be divided into two groups: those that act systemically and those that act locally [24] with the locally acting treatments tending to be more invasive, systemically acting drugs used as a first step [24]. If a systematic approach, which includes baclofen, tizanidine, or dantrolene, is not successful, local treatment is allowed [25], such as muscle botulinum toxin (BTX) injection or peripheral neurolytic blockade with alcohol or phenol [26]. Surgery is to be considered as the final treatment option; however, it is rarely used. If the principal aim is to inhibit neurotransmitter activity at one or more sites within the central nervous system, a systemic approach with specific drugs is to be evaluated. Targeted therapy could regard pre- or postsynaptic sites in spinal interneurons (at varying levels of the upper motor neuron pathway), alpha motor neurons, as well as primary sensory afferent neurons. So, the central nervous system is influenced by inhibitory effects of the neurotransmitters [27]. Oral administration needs high drug dose in order to cross the blood–brain barrier; therefore, side effects like dizziness could occur. In order to reduce the probability for these negative effects, it is possible to introduce some drugs directly into the cerebrospinal fluid, for example, by an intrathecal pump. For drugs used peripherally via injection directly to the nerve or muscle, systemic side effects are fewer.
Physiotherapy is the basic treatment for all patients with spasticity [28, 29]. It may help limit muscle contractures and reduce overactivity for a short period. Physiotherapy together with drug treatment is fundamental to obtain the best functional gain, in order to help patients adapt to changes. In all cases, physiotherapy must be considered as complementary to drugs and surgery. In fact, stretching is considered an import goal in a physiotherapy session, as largely demonstrated [30]. Functional electrical stimulation allows spasticity reduction in antagonists of the stimulated muscles. An interesting use of electrical stimulation is the stimulation of hand and finger extensors during prehension training and mixing of overactive flexor inhibition with extensor activation [31]. Finally, it is important to educate patient in self-rehabilitation sessions comprehensive of stretching postures and active exercises, eventually assisted by caregivers and/or orthoses.
Pharmacologic approaches emphasise oral drugs, neuromuscular blocks, and intrathecal agents. Usually, antispastic therapy is initiated with oral drugs, even though adverse side effects are frequently reported as a systematic effect [32]. Treatment decisions on specific pharmacologic approach are influenced by chronicity, severity, and localisation of spasticity. It was demonstrated that pharmacologic treatments are most effective if used early, in order to avoid muscle shortening and contracture development [33]. However, the time to treat is the first problem to resolve, in particular for drugs. Correctly, spasticity treatment is recommended when it induces a significant functional impairment, in particular regarding daily living activities, or clinical disability such as bad posture, motor capacity, or nursing. When spasticity is diffusely distributed above all in lower limbs, often observed as a consequence of spinal lesions, its treatment is firstly indicated, than in cerebral lesions.
The general goal of medical treatment is to decrease spinal reflex excitability by reducing the release of excitatory neurotransmitters or by potentiating the activity of inhibitory circuits. In clinical practice it is important to differentiate objectives in giving spasticity drugs. The technical objectives are focused to induce tone reduction, in order to increase range of motion or ameliorating joint position and promote rehabilitative procedures. Nevertheless, we also have functional therapeutic objectives regarding gait improvement, daily living activity, self-care, and spasm and pain reduction. When we evaluate the real effectiveness of different drug approaches, it is important to differentiate these therapeutic objectives. In order to achieve these therapeutic goals, most of the drugs currently used in spasticity influence the activity of the CNS neurotransmitters. Inhibitory neurotransmitters (GABA or glycine), as well as excitatory neurotransmitters (glutamate or the monoamines), are the main target. Diazepam, baclofen, tizanidine, and dantrolene represent the principal drugs more frequently used.
Diazepam, probably the first and oldest drug used in treating spasticity [34, 35], is a GABA-A receptor agonist. Its binding, to GABA-A receptors diffused in the brainstem and spinal cord, acts in increasing presynaptic inhibition. Consequently, reduction in the resistance to stretch is the principal clinical effect, showing an objectively increasing range of motion. Other clinical effects are also a reduction of deep tendon stretch reflexes and painful spasms [36]. Nevertheless, significant side effects are to be considered. The depressant effect of the drug on the CNS is the principal side effect, causing an influence on cognitive-level, consciousness status, leading to sedation, drowsiness, and attention or memory impairment. The same physiological mechanism explains weakness and motor discoordination caused by diazepam. Tolerance or dependency phenomena are often observed [37, 38]. Spasticity caused by spinal cord lesion, above all incomplete ones like in patients with multiple sclerosis (MS), is the principal indication to use diazepam, since the drug binding is mainly in the brainstem. Less literature are available for the use of diazepam in spasticity caused by cerebral accident, such as traumatic brain injuries, cerebral palsy, and stroke. In literature, a double-blind protocol is available showing the antispastic efficacy of diazepam, only in spinal cord lesions [39]. However, a possible strength and gait deterioration was also shown consistently in placebo-controlled studies.
Gabapentin is approved as an antiepileptic drug. It is indicated also for postherpetic neuralgia treatment and as add-on therapy in partial seizures. GABA-B receptors are its target. Moreover, it is quietly safe. In a prospective, double-blind, placebo-controlled, crossover study, conducted on multiple sclerosis patients, a statistically significant reduction of spasticity was shown in gabapentin-treated patients compared to placebo [40]. The most efficient and safe dose range is still an open question. A dose range between 2700 and 3600 mg/day, as therapy for spasticity due to upper motor neuron syndrome, was found as efficient and safe. However, doses of 400 mg orally three times a day, in another double-blind, placebo-controlled crossover study, were shown to be effective in the treatment of spasticity and muscle painful cramps in patients with MS [41]. Nevertheless, considering the magnitude of the effect and the good tolerability of the drug, the evidence is on a weak recommendation for using gabapentin to reduce spasticity in MS [42].
Baclofen is another common drug diffusely used in spasticity. This drug is a GABA-B receptor agonist. Its physiological effect is a suppression of excitatory neurotransmitter release and, as a consequence, a potentiation of presynaptic inhibition. The main clinical effects are related mainly to the reduction in flexor-extensor spasms and mono- and polysynaptic reflexes. Obviously, related to its mechanism of action, this drug may induce dose-dependent side effects, quite similar to those seen with diazepam [43], although less frequent and less severe. However, sedation, confusion, dizziness, drowsiness, fatigue, and ataxia have been described as the common side effects observed in baclofen studies. Spasticity due to spinal cord lesions is the main indication to treat with baclofen. Unfortunately, in literature, there are very little studies focused on functional changes, so as a consequence, there is no evidence for effectiveness on functional activities such as gait, ambulation, or daily living activities. Moreover, also for oral baclofen, a weak recommendation for treatment of spasticity in MS has been shown [42]. It’s notable that there is no evidence of significant differences between diazepam, tizanidine, and oral baclofen, regarding therapeutic effects on spasticity [43, 44].
Tizanidine, an imidazole derivative approved for the treatment of patients with spasticity [45], acts as an alpha-2 agonist, both in the spinal and supraspinal level. Presynaptic activity reduction of the excitatory interneurons represents the main physiological effect of this treatment. The coeruleo-spinal pathway, because of its involvement in the control of spinal cord activities, was shown as the main target in order to induce clinical effect during tizanidine treatment [46]. Consequently, reduction in tonic and stretch polysynaptic reflexes can be observed. Because of co-contraction reduction, which is observed, a possible effect on reciprocal inhibition is questionable. Possible side effects include sedation, dizziness, and dry mouth. Nevertheless, with respect to diazepam or baclofen, weakness is not reported as a great problem [47]. From the literature, the indications for its use are mainly in spasticity due to spinal cord lesions [48]. It has been particularly used in multiple sclerosis patients [49]. In spasticity caused by cerebral lesions, its efficacy is less well documented in literature. However, there are a certain number of reports regarding its antispastic efficacy, also in controlled studies vs. placebo. In the treatment of spasticity due to cerebral lesions, there are some evidences of its greater efficacy than diazepam [47]. However, there is very little information about the possible functional changes resulting from this treatment, i.e. quality of life and self-care. In fact, although it has been shown to have an antispastic effect, we do not know whether this will translate into long-term functional benefit for the patients. In clinical practice, tizanidine is usually well-tolerated. Drowsiness and dry mouth are the most common although are rare side effects. A range of 24–36 mg is normally the therapeutic dose (20% mean reduction in muscle tone), usually divided in three daily doses [50]. Like oral baclofen and diazepam, there is a consensus for a weak recommendation for the use of tizanidine [42].
Among the oral dugs, dantrolene is the only one which acts outside the central nervous system [51]. It acts on the inhibition of calcium release from the sarcoplasmic reticulum, so, as a final effect, it reduces in muscle the excitation-coupling reaction between actin and myosin fibres. The documented clinical effects are a reduction of muscle tone and phasic reflexes, reduction of spasm, and an increased range of passive motion. Unfortunately, a frequent occurrence of side effects is described with this drug, such as gastrointestinal symptoms, weakness, and sedation although this is less than that seen with other treatments. Over all, a serious side effect with the use of dantrolene is hepatotoxicity, which occurs frequently [51]. In patients with spasticity due to cerebral lesions, dantrolene is the only drug with evidence of efficacy, so from a pure clinical point of view, this is very disappointing. In fact, dantrolene in approved in patients with stroke, cerebral palsy, traumatic brain injuries, and spinal cord lesions. As shown for baclofen, also for dantrolene, there are many evidences of efficacy and safety of its antispastic effect proven vs. placebo, but no studies focused on functional changes in activities of daily living. It’s notable that dantrolene is also used to prevent muscle stiffness and spasms caused by malignant hyperthermia (a rapid rise in body temperature and severe muscle contractions) that can occur during surgery with certain types of anaesthesia [52].
It is known, from many evidences, that the psychoactive ingredient in cannabis, delta-9-tetrahydrocannabinol (delta-9-THC), is able to treat muscle spasticity and pain. Two types of cannabinoid receptors can be described: CB1 and CB2. CB1s are located both in the central and peripheral neurons. CB1 and CB2 receptors are equally activated by delta-9-THC, a cannabinoid receptor agonist [53, 54]. On the contrary, cannabidiol, a natural cannabinoid, is inactive on the CB1 receptor. Some studies reported that cannabis extracts, containing approximately equal concentrations of delta-9-THC and cannabidiol administered through sublingual way, can significantly reduce spasticity. During the last years, several studies investigated and argued on the efficacy and safety of oral cannabinoid administration in MS patients as an add-on treatment for spasticity. A multicentre, double-blind, placebo-controlled trial showed that in MS spasticity treatment, cannabinoid may help to treat MS-related spasticity and pain [53]. However, according to the results from clinical trials, it is not allowed to use cannabinoids in MS as a general use. In a recent study, 630 MS patients affected by muscle spasticity were randomised to be treated with oral delta-9-THC, cannabis extract, or placebo for up to 12 months. The results showed a controversial effect; in fact, there was a small treatment effect on muscle spasticity and disability as functional independence measure, but patients’ sensation was that these drugs were helpful in treating their disease [54]. Adverse side effects are generally mild, in particular dry mouth, somnolence, dizziness, nausea, and rarely intoxication. However, there is a need of longer-term studies to evaluate other, well-known, adverse side effects of cannabinoid such as risks of lung cancer and other respiratory dysfunctions. A recent multicentre observational study confirmed the efficacy and safety of delta-9-THC in clinical practice, as an effective and safe option for patients with MS with moderate to severe spasticity resistant to common antispastic drugs [55]. In a recent consensus, a significant recommendation for the use of cannabinoids in spasticity emerged, particularly for oromucosal spray nabiximols, as treatment of spasticity in MS; the strength of the recommendation is strong [42].
BTX type A is considered as the first-line treatment of multifocal muscle overactivity, thanks to its better efficacy and safety profile with respect to systemic approach with drugs. Different from baclofen or tizanidine, the efficacy of BTX type A has been demonstrated in self-care improvement (in particular for washing and dressing) and in active movements for the leg, with gait improvement if possible. Except for using kinematic analysis, no improvement was possibly shown in active movement or function in the upper limb. Pain was also reduced by BTX treatment as demonstrated in literature. Four forms of BTX are currently available in Europe: three type As (BOTOX®, Allergan; Dysport®, Ipsen-Pharma; Xeomin®, Merz) and one type B (Neurobloc®, Elan-Pharma). It is absolutely recommended to keep in mind that the units of these four toxins are different, being specific for each one. Injection sites are better detected, using electrical stimulation, as anatomical markers alone may induce to an inaccurate target. The use of ultrasound guidance, particularly in children, in identifying muscle site injection, is an interesting study object; however, this technique has not been evaluated with respect to electrical stimulation guidance for its efficiency. Generally, there are no immediate postinjection complications (except for a little pain as a side effect related to injection itself). Above all, during the first 3 weeks after each injection treatment, there would be a low risk of adverse events (swallowing disorders and botulism-like syndrome), so patients and caregivers must be warned as well as encouraged to eventually consult if necessary. The effects of treatment could be assessed 1–6 weeks after the injection, based on personalised goals decided before treatment. The effect of the toxin is not permanent, so repeated injections are often needed; nevertheless, a long-lasting effect is also observed. No repeated treatment is recommended without a specific assessment. When and if needed according to functional evaluation, a minimum delay of 2–3 months between injections must be respected, in order to reduce the risk of an immunologic reaction that may induce a permanent inefficacy of subsequent treatments. Each subsequent treatment should be planned after an accurate functional evaluation according to the pre-therapeutic identified goals and task, as well as tolerance. So, a review of the dose and treated muscles could be scheduled. If therapeutic effects continue to be evident, repeated injections can be planned [33, 56, 57, 58, 59, 60]. Physical therapy has to be considered after BOTOX injections. Regarding maximum doses, according to European Consensus, it should be considered:
Per session: 1500 MU Dysport® 600 U BOTOX®.
Per site: 125 MU Dysport® 50 U BOTOX®.
It is notable that these dosages are identified relatively to acceptable side effects, in order to be safe. Moreover, each product could be effective with different doses for each patient, in terms of both efficacy and safety [61]. As well as the cannabinoid, there is a strong recommendation of the use of BTX to reduce muscle tone in spasticity do to multiple sclerosis [42].
Localised and loco-regional spasticity may effectively be treated by selective neurolysis. Coagulation and denaturing of proteins induced by phenol perineurally injected lead to cellular and axonal damage. Unfortunately, this chemical denervation is irreversible; moreover, the effects of phenol are not selective because also vascular and sensory structures can be destroyed [62]. In fact, the main recommendation choosing this approach is to identify preferably the nerves to be treated with a low sensory activity and a high motor predominance (i.e. obturator or musculocutaneous nerves, etc.). However, this focal treatment is usually not used as a first-line therapy, except in the case of particularly problematic overactivity affecting a big area under a single motor nerve control, for example, musculocutaneous nerve for biceps brachii muscle or obturator nerve for thigh adductor muscles. This may allow to use in the same patient BTX to treat other muscles, without the risk of an overdose. Electrical stimulation is used to identify a nerve, in order to perform injection on it. Firstly, a transient motor block may be a plan, in order to evaluate if chemical neurolysis might be significantly effective and safe. In fact, the efficacy and/or advantages eventually deriving from alcohol or phenol treatment could be evaluated before, in particular with respect to surgery (above all, tissue fibrosis induced by alcohol or phenol, which may hamper surgery approach). Advantages are the low cost and the long duration of effect. In clinical practice, 5–7% concentrations of phenol in aqueous solution are administered.
Intrathecal baclofen (ITB) is a long-term treatment with continuous, intra-spinal administration via an implanted pump that reduces spasticity, especially in spinal injury patients and in multiple sclerosis [63, 64]. For this reason, ITB has become the first choice in intractable generalised spasticity, especially when oral administration fails to be effective. ITB efficacy in reducing spasticity was demonstrated by several studies [65]. Through direct infusion into the cerebrospinal fluid, the baclofen can be concentrated regionally, avoiding liver metabolism, so it is totally available for its therapeutic effects. In fact, with respect to oral baclofen administration, the ITB, bypassing the blood–brain barrier entirely, needs much lower dose in order to obtain the same CSF concentrations; it has been determined that the ITB dose is 100–1000 times smaller than the oral daily dose. Depending on the pump model, it is possible to modify infusion rate, according to the patient’s needs. In several studies ITB was shown as safe and effective in reducing spasticity. The complication rate was found to be low, and the efficacy was maintained over time [64]. A reduction in the Ashworth scale from 3 to 4 to 1 after ITB implantation was reported in several studies. Also spasm frequency significantly decreased. Some activities of daily living, in particular the ability to sit in a wheelchair and nursing care, improved after ITB implant. In some cases, authors showed that patients with less severe disability experienced an improvement in the ability to transfer, thanks to ITB effect [66]. Side effects, such as vertigo, nausea, nystagmus, dysmetria, mouth dryness, headache, amnesia, bladder, and sexual dysfunction, have been described in about 4% of patients and mainly are not life-threatening. As a red flag, it is notable that concerning gastrointestinal function, ITB could affect peristalsis, which could be severely slowed down to paralytic ileus. Nevertheless, constipation has previously been reported as an infrequent ITB-induced adverse effect, ranging from 3 to 10% of treated patients [67], rarely leading to death [68]. Therefore, recognition of constipation in patients treated with ITB is very important, not only because constipation is a possible side effect, being reported in some study, but also because it may be also a life-threatening complication. ITB has been used in patients with leg diffuse muscle overactivity. This type of treatment should be used above all in patients, in which muscle overactivity impaired posture, nursing, and personal independence or causes pain [63]. Several assessments are required before planning a definite pump implantation, performing drug test injection via lumbar puncture or via a temporary access device. Efficacy may be evaluated during the following 3–4 h. The first test dose is usually recommended up to 50 μg in adults, picking up gradually to a maximum dose of 150 μg, eventually reached after 3 days. A risk of overdose should be always evaluated, in particular regarding the effects on consciousness level and respiratory disorders. So, a specialised medical team is needed in order to monitor patient after and during the 4 h following the test. Only after the end of this test, if the treatment has been well-tolerated and effective, the team may make the decision to implant the pump. It is important to monitor the patient during the entire follow-up period, in order to prevent and/or detect collateral effects related to the procedure (displacement and/or obstruction of the catheter, infection, etc.), which may induce a serious withdrawal syndrome. ITB is often recommended for the treatment of spasticity, with a strong evidence of efficacy [42].
Surgery may play an important role in the treatment of chronic muscle overactivity or for the after-effects induced by spasticity that become functional impairments (e.g. irreducible equinovarus foot), but it is not the first-line treatment. Because of its potential adverse events and its definite effects, surgical techniques should be reserved only in selected patients in order to reach different goals: hygiene, standing, transferring, walking, and the use of assistive devices. It involves neurosurgery and orthopaedic surgery. Surgical procedures may include one or more of the techniques described below. Peripheral neurotomy may include partial or segmental resection of a motor nerve, involving spastic muscles. In order to balance agonists and antagonists overlapping the muscle activity, a selective peripheral neurotomy is recommended to maintain a “functional” muscle tone. Collateral branches of the posterior tibial nerves and obturator nerves are commonly the main targets for the legs (e.g. ankle clonus, equinus, inversion of the foot). For the arms, neurotomy of the musculocutaneous, median, and ulnar nerves showed good results regarding efficacy and safety [69]. Other surgery techniques, such as rhizotomies, although used, have potential collateral effects and complications [70]. Musculoskeletal surgery, performed on the muscle or the tendon itself, aims to treat spasticity consequences, such as contracture and joint deformities. Tendon transfers (e.g.
Treatment options of the management of dystonia include pharmacological therapies, injections, and surgical interventions. The main pharmacological therapies are anticholinergics (particularly trihexyphenidyl), baclofen, benzodiazepines (particularly clonazepam), and dopamine-related medications. However, medical therapy in dystonia is largely empiric and at times may seem anecdotal. Three main neurotransmitter systems are involved: cholinergic generally acting as antagonist at postsynaptic M1 receptor, GABAergic-like baclofen, and dopaminergic systems. Dopaminergic treatments can be divided into two: levodopa and dopamine reducing medications like presynaptic dopamine depleters such as tetrabenazine and postsynaptic dopamine-blocking agents, such as clozapine or neuroleptics. The therapeutic strategy, carried out by Fahn [71], is to “start low and go slow”: medications should be started at a low dose and upped slowly to the lowest effective dose, in order to reduce symptoms without side effects. The rate of titration may depend on age: every 3–4 days in children, compared to every 1 week in adults. A combination approach is used when monotherapy achieves a “good” dose, but symptom control is incomplete. The question is which medications should be started first?
In 1952, beneficial effects of trihexyphenidyl in writer’s cramp and “dystonia musculorum deformans” were first reported [72, 73]. The first open-label study of high-dose anticholinergics in dystonia using trihexyphenidyl and ethopropazine was conducted by Fahn [71]. Various forms of dystonia, both “primary and secondary,” can be treated with anticholinergics, except for tardive dystonia and Meige syndrome. Studies showed a good effect in 61% of the children and 38% of the adults, with mean trihexyphenidyl doses of 41 and 24 mg, respectively. More benefit was demonstrated in children, possibly due to better tolerability, and in patients who received treatment earlier, within 5 years of disease onset [74]. Several studies have demonstrated that anticholinergic drugs may be useful to treat various forms of dystonia including focal [75], cranial [76], and secondary dystonia including dystonia in cerebral palsy [74], after ischemic stroke [77], and in tardive dystonia [78]. Side effects can be divided into central ones, which include sedation, cognitive slowing, confusion, memory impairment, psychosis and chorea, and autonomic side effects, which include blurred vision, due to mydriasis, dry mouth, urinary retention, and constipation.
Baclofen was reported to be useful in tardive dystonia [79]. Just in 1988, Greene published a retrospective open-label study, showing that 20% of 108 patients had benefits from baclofen at a mean daily dose of 82 mg [80]. Later, Greene and Fahn also reported beneficial effects of baclofen in 7 of 16 patients with idiopathic childhood dystonia [81]. ITB was tried initially for spasticity and later in dystonia [82]. In 1991 Narayan and colleagues showed the efficacy of ITB in axial dystonia not responding to other drugs [83] and subsequently in dystonic cerebral palsy with lower extremity involvement [84]. Albright reported the use of intraventricular baclofen in two patients with dystonic cerebral palsy, one of whom previously failed ITB therapy and the other has a complex spinal anatomy precluding the intrathecal procedure [85]. Nevertheless, baclofen is generally considered as a second-line agent, due to its significant side effects like drowsiness, dizziness, fatigue, and nausea. Regarding benzodiazepines, diazepam therapy was described in “dystonia musculorum deformans progressiva” and spasmodic torticollis [86]. In 1988, the benefit of clonazepam was shown by Greene in 16% of 115 patients with dystonia, also including secondary dystonia [80]. Also in acquired hemidystonia, as shown in a report of 33 patients, clonazepam and diazepam were found to be the most effective drugs. Clonazepam and diazepam are the two most commonly used drugs, partly due to their relatively long half-lives. The side effects of benzodiazepines include sedation, depression, nocturnal drooling, and behavioural disinhibition. Benzodiazepines are considered a second- or third-line agent.
In 1976 Segawa firstly used levodopa as a treatment in dystonia, showing a dramatic response to low-dose levodopa in two patients affected by “hereditary progressive dystonia with marked diurnal fluctuations” [87], later named Segawa syndrome. In dystonia therapy, levodopa is used (1) as an aetiology-specific treatment in dopa responder dystonia and (2) as a symptomatic therapy in other forms of dystonia where the dramatic response to levodopa is unfortunately not replicated. Levodopa may also be used to treat dystonia symptoms which may complicate a parkinsonian syndrome [88]. In clinical practice, levodopa or dopamine agonists are rarely used to treat dystonia symptomatically. The side effects of levodopa include nausea, orthostatic hypotension, and psychosis. In 1972, Swash reported only a slight benefit of tetrabenazine in spasmodic torticollis [89]. In 1982, a double-blind crossover trial by Jankovic demonstrated an improvement in 11 of 12 patients [90]. Tetrabenazine has been used in various forms of dystonia; however, benefits are greater in tardive dystonia than that of the other forms [91]. Tetrabenazine is rarely used as a first-line agent, except in tardive dystonia [92].
Spasticity and dystonia syndromes and their consequences negatively impact the quality of life of patients, so management of symptoms represents an important care issue. The best choice of antispastic treatments depends not only on the level of spasticity but also on the outcome achievable, according to a task-oriented rehabilitation programme. In this respect, it is important to underline the importance of the individualised rehabilitative project, which can be carried out only through a multidisciplinary approach, in which all available options must be targeted to the real needs of the patients, keeping into account that the final goal is the reduction of disability and improvement of the quality of life. With advances in diagnosis and treatment, therapeutic strategies for the management of spasticity and dystonia symptoms, including pharmacological treatments, have evolved. Progresses in other areas such as BTX, neuromodulation, and disease-specific treatment have changed the way patients are treated. Nevertheless, dystonia remains a challenging field in both diagnostic and therapeutic aspects. Further understanding of its pathophysiology may shed light on more specific therapies. In conclusion, the management of spasticity and dystonia may include a proper diagnosis and classification with an evaluation of the aetiology underlying the pathological features and a clinical assessment of the functional impairment. For both conditions, therapeutic approaches, usually limited to symptomatic therapy, must then be tailored to the individual needs of the patient.
Vincenzo Cimino has received grants for congress participation from Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA.
Clara Grazia Chisari has received grants for congress participation from Almirall, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA.
Francesco Patti has received honoraria for speaking activities by Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he also served as an advisory board member of the following companies: Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he was also funded by Pfizer and FISM for epidemiological studies; he received grants for congress participation from Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA.
IntechOpen - where academia and industry create content with global impact
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\n\nSara Uhac, COO
\n\nSara Uhac was appointed Managing Director of IntechOpen at the beginning of 2014. She directs and controls the company’s operations. Sara joined IntechOpen in 2010 as Head of Journal Publishing, a new strategically underdeveloped department at that time. After obtaining a Master's degree in Media Management, she completed her Ph.D. at the University of Lugano, Switzerland. She holds a BA in Financial Market Management from the Bocconi University in Milan, Italy, where she started her career in the American publishing house Condé Nast and further collaborated with the UK-based publishing company Time Out. Sara was awarded a professional degree in Publishing from Yale University (2012). She is a member of the professional branch association of "Publishers, Designers and Graphic Artists" at the Croatian Chamber of Commerce.
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\n\nAdrian Assad De Marco joined the company as a Director in 2017. With his extensive experience in management, acquired while working for regional and global leaders, he took over direction and control of all the company's publishing processes. Adrian holds a degree in Economy and Management from the University of Zagreb, School of Economics, Croatia. A former sportsman, he continually strives to develop his skills through professional courses and specializations such as NLP (Neuro-linguistic programming).
\n\nDr Alex Lazinica
\n\nAlex Lazinica is co-founder and Board member of IntechOpen. After obtaining a Master's degree in Mechanical Engineering, he continued his Ph.D. in Robotics at the Vienna University of Technology. There, he worked as a robotics researcher with the university's Intelligent Manufacturing Systems Group, as well as a guest researcher at various European universities, including the Swiss Federal Institute of Technology Lausanne (EPFL). During this time he published more than 20 scientific papers, gave presentations, served as a reviewer for major robotic journals and conferences and, most importantly, co-founded and built the International Journal of Advanced Robotic Systems, the world's first Open Access journal in the field of robotics. Starting this journal was a pivotal point in his career since it proved to be the pathway to the foundation of IntechOpen with its focus on addressing academic researchers’ needs. Alex personifies many of IntechOpen´s key values, including the commitment to developing mutual trust, openness, and a spirit of entrepreneurialism. Today, his focus is on defining the growth and development strategy for the company.
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He was elected a Yangtze River Scholars Distinguished Professor in 2013, a member of the International Statistical Institute (ISI) in 2016, a member of the board of the International Chinese Statistical Association (ICSA) in 2018, and a fellow of the Institute of Mathematical Statistics (IMS) in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation for Distinguished Young Scholars of China in 2012. He serves as a member of the editorial board of Statistics and Its Interface and Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include biostatistics, empirical likelihood, missing data analysis, variable selection, high-dimensional data analysis, Bayesian statistics, and data science. He has published more than 190 research papers and authored five books.",institutionString:"Yunnan University",institution:{name:"Yunnan University",country:{name:"China"}}},{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",biography:"Prof. António J. R. Neves received a Ph.D. in Electrical Engineering from the University of Aveiro, Portugal, in 2007. Since 2002, he has been a researcher at the Institute of Electronics and Informatics Engineering of Aveiro. Since 2007, he has been an assistant professor in the Department of Electronics, Telecommunications, and Informatics, University of Aveiro. He is the director of the undergraduate course on Electrical and Computers Engineering and the vice-director of the master’s degree in Electronics and Telecommunications Engineering. He is an IEEE Senior Member and a member of several other research organizations worldwide. His main research interests are computer vision, intelligent systems, robotics, and image and video processing. He has participated in or coordinated several research projects and received more than thirty-five awards. He has 161 publications to his credit, including books, book chapters, journal articles, and conference papers. He has vast experience as a reviewer of several journals and conferences. As a professor, Dr. Neves has supervised several Ph.D. and master’s students and was involved in more than twenty-five different courses.",institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"11317",title:"Dr.",name:"Francisco",middleName:null,surname:"Javier Gallegos-Funes",slug:"francisco-javier-gallegos-funes",fullName:"Francisco Javier Gallegos-Funes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/11317/images/system/11317.png",biography:"Francisco J. Gallegos-Funes received his Ph.D. in Communications and Electronics from the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) in 2003. He is currently an associate professor in the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mechanical and Electrical Engineering Higher School) at the same institute. His areas of scientific interest are signal and image processing, filtering, steganography, segmentation, pattern recognition, biomedical signal processing, sensors, and real-time applications.",institutionString:"Instituto Politécnico Nacional",institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"428449",title:"Dr.",name:"Ronaldo",middleName:null,surname:"Ferreira",slug:"ronaldo-ferreira",fullName:"Ronaldo Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/428449/images/21449_n.png",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. 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He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:null,institution:null},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. 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