Data on comparative and cumulative sensitivity and specificity indexes of IGRAs and TST for the diagnosis of tuberculosis.
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More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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The aim of this short book is to provide the reader with several informative chapters in the field of neonatal and pediatric surgery. Each chapter provides details on a specific area of this changing field. The scope of this book focuses on a few areas that are rare and challenging. For example, it covers preoperative and postoperative care of neonates. Important anesthesia considerations, including anesthesia for neonates and regional anesthesia, are discussed. A unique chapter on neonatal tumors is presented. The book provides an overview of the recent recommendations for care of infants and children that undergo cardiac surgery. The challenging aspects of caustic ingestion are explained. Each chapter stands alone as a detailed source of information for the reader. This book brings updated information with structured headings that will allow the reader to remain focused as the material is reviewed.",isbn:"978-953-51-3136-6",printIsbn:"978-953-51-3135-9",pdfIsbn:"978-953-51-4852-4",doi:"10.5772/63041",price:119,priceEur:129,priceUsd:155,slug:"pediatric-and-neonatal-surgery",numberOfPages:170,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"cecf75716957606b6bbbb3999e80cfcf",bookSignature:"Joanne Baerg",publishedDate:"May 3rd 2017",coverURL:"https://cdn.intechopen.com/books/images_new/5473.jpg",numberOfDownloads:16068,numberOfWosCitations:4,numberOfCrossrefCitations:5,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:5,numberOfDimensionsCitationsByBook:1,hasAltmetrics:0,numberOfTotalCitations:14,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 21st 2016",dateEndSecondStepPublish:"August 26th 2016",dateEndThirdStepPublish:"October 31st 2016",dateEndFourthStepPublish:"November 14th 2016",dateEndFifthStepPublish:"January 25th 2017",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"178844",title:"Dr.",name:"Joanne",middleName:null,surname:"Baerg",slug:"joanne-baerg",fullName:"Joanne Baerg",profilePictureURL:"https://mts.intechopen.com/storage/users/178844/images/5578_n.jpg",biography:"Dr. Joanne Baerg is an Professor of Pediatric Surgery at Loma Linda University Children’s Hospital. 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Neonatal care should include close attention to achieving homeostasis and stability in the perioperative period. 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However, the technique did not receive much interest in paediatric anaesthesia until the 1980s. In the last three decades, paediatric spinal anaesthesia has received widespread approval as an alternative technique to general anaesthesia in school-/preschool-aged children, particularly in term and preterm neonates with high risk associated with general anaesthesia. The development of new and safer local anaesthetics mainly through better understanding of the pharmacokinetics and dynamics and dedicated paediatric tools are the keys to this success. Paediatric spinal anaesthesia is an easy and effective technique, and its high efficiency and safety are supported by the presence of numerous publications from the medical literature. However, it remains limited to situations in which general anaesthesia poses a major risk. Despite these advances, it is important to understand the correct technique and the anatomy of children at different ages. Also, the appropriate equipment, the pharmacokinetics and toxicities of local anaesthetics and the indications and complications of paediatric regional blocks should be well known. The goal of this chapter is to review and discuss some of these topics of paediatric spinal anaesthesia for paediatric surgery.",signatures:"Esra Caliskan",downloadPdfUrl:"/chapter/pdf-download/54269",previewPdfUrl:"/chapter/pdf-preview/54269",authors:[{id:"183347",title:"Associate Prof.",name:"Esra",surname:"Caliskan",slug:"esra-caliskan",fullName:"Esra Caliskan"}],corrections:null},{id:"54877",title:"Neonatal Tumors",doi:"10.5772/68070",slug:"neonatal-tumors",totalDownloads:2286,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Neonatal tumors encompass a group of heterogeneous neoplasms that demonstrate anatomic locations, behavior patterns, histologic features, and treatment responses that are distinct from neoplasms found in older children. 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Stabilization consists of medical treatment including emergent prostaglandin institution in some types of duct dependent lesion. The role of interventional catheterization such as patent ductus arteriosus (PDA) stent, balloon pulmonary valvotomy, etc. as modalities for stabilization before surgery was also elaborated. Some general and specific guidelines based on the type of surgeries for postoperative management were also discussed.",signatures:"Eva Miranda Marwali, Beatrice Heineking and Nikolaus A. 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It often occurs as a result of uncontrolled and unsafe storage of materials used in household cleaning. Despite the various treatment proposals, optimal management of the patients remains controversial. The presentation of the depth and extent of injury with endoscopy plays a key role in treatment planning. In the absence of life-threatening complications, the general approach is conservative management in the acute period. The most common complications are esophageal stricture and gastric outlet obstruction. Different treatment methods such as bougienage, stent application, balloon dilation, or esophageal replacement are used in the treatment of the caustic esophageal strictures. 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Tuberculosis (TB) is a worldwide problem and a main concern for the World Health Organization. Nowadays, 30% of the human population is infected with the Koch bacillus and tuberculosis remains one of the major health problems on earth [1, 2, 3, 4]. In 2014 alone, 9.6 million people were thought to be infected with Mycobacterium tuberculosis (Mtb) globally, in the vast majority of cases, infection leads to a latent form of tuberculosis, active disease being found in only 10% [1]. Latent tuberculosis (LTBI) occurs when individuals have been exposed to TB but remained systemically healthy. This latency relies on the presence of an active immune response against Mtb. All those people are thus at risk of TB reactivation in case of immunodepression. With area of globalization, all countries are affected with varying rates of infection, with high endemic countries from where migrant groups settle.
Uveitis is reported to be related to tuberculosis in 0.2–20% of cases [5]. This large range reflects prevalence variations of tuberculosis around the globe as well as differences in diagnostic criteria. The etiological relationship between tuberculosis and ocular inflammation is complex. Hence, direct demonstration of the presence of Mtb inside the eye is fairly rare because of the pauci-bacillary nature of the infection. If the patient has the evidence of systemic active TB infection, the uveitis may indicate direct ocular involvement by Mtb. However, in most cases, a diagnosis of presumed ocular tuberculosis will be made on the basis of the presence of compatible ophthalmological signs in the setting of a systemic (usually latent) infection [6, 7, 8]. In this context, recent studies suggest that in patients with vision-threatening uveitis with no identifiable cause who have LTBI, the recurrence rate of uveitis is greatly reduced with concomitant anti-tubercular therapy (ATT) and immunosuppressive treatment [9, 10, 11]. Another important issue, reopened with the introduction of biologics, is obviously the risk of inducing tuberculosis reactivation in patients with severe vision- threatening non-infectious uveitis where systemic corticosteroids and steroid-sparing agents are required. Search for tuberculosis infection is thus an important aspect in the work-up of patients with uveitis, even in low prevalence area in order to prevent reactivation of LTBI [10]. In this chapter, we will review those important aspects of the relation between TB and immunosuppressive (IS) drugs/immunomodulatory treatment (IMT) in uveitis patients.
The mainstay therapy of sight-threatening noninfectious uveitis is based on corticosteroids and immunosuppressive drugs administration. IS drugs are usually restricted to refractory cases and to patients requiring high doses of steroids, in which visual prognosis depends on more aggressive therapeutic approaches. Their long-term use is limited by ocular and systemic side effects.
The introduction of biological agents such as anti- tumor necrosis factor (anti TNF-α), which is a key cytokine in host defense against intracellular infection as Mtb, by regulating the integrity of granuloma where TB is contained, led to the upsurge of TB reactivation [12]. In contrast, none anti-TNF-α targeted biologics like IL-6 inhibitor tocilizumab (TCZ), anti-CD20 rituximab (RTX) and more are not likely associated to any increase risk [13]. To date available TNF alpha booking agents are: infliximab (IFX), adalidumab (ADA), golimumab (GOL), certolizumab peg (CZP) which are monoclonal antibodies directed against TNF alpha, and etanercept (ETN) which is a soluble receptor blocking agent. Several publications reported the effectiveness of anti TNF- drugs in the treatment of uveitis [14, 15]. Anti-TNF treatment had a profound effect on the management of autoimmune vision threatening uveitis with known etiology. ADA is the first licensed anti-TNF treatment for uveitis patients. It is important to emphasize that anti-TNFα agents (infliximab, adalimumab, golimumab) may be more efficient than soluble receptors of TNFα (etanercept) in decreasing the risk of uveitis [16]. But also paradoxical reactions during treatment with a biologic agent, like palmoplantar pustular and psoriasiform reactions, psoriatic arthritis, hidradenitis, inflammatory bowel disease, pyoderma gangrenosum, granulomatous reactions, and vasculitis have subsequently been reported through anecdotal cases, cohort studies, and analysis of drug event databases, showing also that uveitis can flare during anti-TNF-α therapy especially with etanercept [17].
Because of the risk of developing active systemic TB, screening strategies for LTBI detection and preventive therapy for patients undergoing therapy with biological agents have been developed. LTBI is detected either by tuberculin skin test (TST), also named Mantoux test, or by blood-based interferon-gamma release assay (IGRA) including QuantiFERON TB Gold in Tube (QFT). Based on the WHO recommendations, either TST or IGRA are acceptable for LTBI screening [18]. Clinicians may consider, before starting IS, to use IGRA in persons with a history of BCG, but if the index of suspicion of LTBI is high, independently of BCG vaccination, both IGRA and TST may be done, especially prior to initiating anti TNF-α therapy [19]. Recent studies have evaluated the effectiveness of QFT and TST in the screening of arthritis patients and patients with inflammatory bowel disease [20, 21]. Concordance between the two tests was moderate, and it appears lower with immunosuppression. QFT alone may be appropriate in immunosuppressant-naïve patients but both tests should be considered in immunosuppressed patients. In guidelines pertaining to medical immunosuppression, the recommendations for screening varied considerably between the use of TST and IGRA. Concurrent testing with both TST and IGRA was supported by many guidelines [19, 20, 21, 22, 23]. Lu et al. conducted a systematic review and meta-analysis to compare the accuracy of IGRAs and TST for the diagnosis of Mtb [24]. IGRAs showed better performance than TST for the diagnosis of the tuberculosis. Data on comparative and cumulative sensitivity and specificity indexes for both tests are detailed in Table 1. Cotter and Rosa et al. reported an interesting approach to choose the eligibility for treatment of LTBI after screening with TST and IGRA in immunosuppressed and immunocompetent patients suffering from inflammatory bowel disease, based on a very practical algorithm adapted from Duarte et al. to trace the routes to be followed to decide which patients has LTBI and need tuberculosis treatment according to IGRA and TST [25]. We think that this algorithm can be extrapolated to all patients with inflammatory diseases like uveitis (Table 2). Patients with inflammatory diseases who require long-term maintenance medical immunosuppression with a negative screening TST or IGRA may not need further evaluation in the absence of risk factors and/or absence of clinical suspicion for TB in low TB risk countries [19, 21]. Annual evaluation is highly recommended if they live, travel, or work in situations where TB exposure is likely while they continue treatment with biologic agents [23]. It is important to decrease false-positive LTBI testing that may lead to potential toxic antibiotic treatment and result in the unnecessary interruption of biologic therapy. After screening, if either test is positive (TST or IGRA), a chest CT- Scan is mandatory to exclude active pulmonary TB.
Data on comparative and cumulative sensitivity and specificity indexes of IGRAs and TST for the diagnosis of tuberculosis.
Algorithm for treatment of latent tuberculosis infection in uveitis patients adapted from Duarte et al.
LTBI can progress to active TB in 5–10% in subjects who are at higher risk like recent contact, people leaving with HIV, children below 5 years, also an age > 65, immigrants from high TB prevalence countries and candidates of biological treatment [18]. When the patient is evaluated, clinicians should also take in account other variables including the host-related TB risk based on age, socioeconomic status, lifestyle, malnutrition, immune-suppression conditions and co-morbidities. The underlying disease itself is also associated with a higher TB risk, with a peak ranging from 2.0 to 8.9 in rheumatoid arthritis patients not receiving biologic therapies, and a lower risk in those with ankylosing spondylitis (AS), psoriatic arthritis (PsA), and psoriasis (Pso) [21, 22, 23, 26]. Systemic TB reactivation has rarely been reported as side effect related to Anti-TNF-α therapy in patients with refractory relapsing chronic posterior uveitis [14, 15]. A review of the US Food and Drug Administration (FDA) Adverse Event Reporting System data revealed 70 cases of active TB in 147,000 patients receiving IFX worldwide [22]. Of these, 47 occurred in patients with RA, 18 in those with Crohn’s disease, and 5 in people with other types of arthritis, with a median interval of 12 weeks from starting the biologic therapy. The incidence rate of TB was 4 times higher in IFX-treated patients with RA than the estimated incidence in people with RA not receiving biologic therapy. As mentioned, there is an evidence of single biological-related risk as reported by Cantini et al. [10]. The risk is at least 3–4 times higher in patients exposed to monoclonal antibodies IFX and ADA than in those receiving the soluble receptor ETN. Subsequent studies aimed to establish the relative risk (RR) of TB in patients using TNF-α inhibitors (and other biologics) compared to that in the general population. Registries for patients on biologics have provided a valuable resource for studies that aimed to determine the risk of TB associated with these therapies. A French study using the RATIO registry found age- and sex-standardized incidence ratios (SIR) for infliximab, adalimumab, and etanercept of 18.6 (95% CI, 13.4–25.8), 29.3 (95% CI, 20.3–42.4), and 1.8 (95% CI, 0.7–4.3), respectively, compared to that in the general population [27].
Of note, the combined use of anti-TNF agents and traditional DMARDs exposes to a higher risk of TB reactivation in subjects with LTBI compared to patients treated with anti-TNF-α monotherapy. But practicians need to be aware that patients with inflammatory diseases, for which biologics are prescribed, already have an increased risk of TB associated with their immunosuppressed disease state and often also have co-morbidities and additional medications that themselves have an increased risk of TB compared to that of the general population [28]. The risk of TB reactivation in inflammatory patients treated with non-anti-TNF-α target biologics like IL-6 inhibitor tocilizumab (TCZ), anti-CD20 rituximab (RTX) and IL-1 inhibitor anakinra (ANK) and more are not likely associated to any increase risk [13, 29, 30].
Recommendations state that in the case of a diagnosis of LTBI (positive score to an immune diagnostic test (TST or IGRA) and a chest radiograph negative for active TB lesions), active TB prevention with a 6–9-month course of isoniazid is recommended associated to pyridoxine supplementation (vitamin B6), with an average protective effect against TB of 60% during the observation period [31]. There is no clear evidence in the literature concerning the optimal interval between the beginning of the preventive therapy for TB reactivation and biologic therapy [23]. Biologic therapy is suggested to be postponed for at least 1 month thereafter. Therefore, the decision to treat an individual must balance the potential personal benefits against the risk of drug hepatotoxicity and neurotoxicity which is higher in chronic alcoholics, malnourished persons, and pregnant women or healthy individuals (0.2%) due to the inhibitory effect of isoniazid on the function of pyridoxine metabolites. Daily rifampicin alone for 3–4 months compared to placebo has shown a 59% reduction of incident TB [32]. A multi-center clinical trial comparing 4 months of self-administered rifampicin to 9 months of daily isoniazid therapy has been recently completed in 2017. Daily therapy with isoniazid plus rifampicin for 3 months and standard therapy with isoniazid for 6–12 months were equivalent in terms of efficacy and as expected, given the shorter regimen and direct observation, treatment completion was significantly higher in the combination therapy group (82.1% vs. 69.0%). Toxicity was also less reported in the shorter regimen, with fewer individuals taking rifampicin/isoniazid developing drug-related hepatotoxicity [33].
Considering the most frequently used IS and IMT drugs for treatment of non-infectious uveitis, a few specific ophthalmologic reports aims to provide an overview on their use in patients with a recent or past history of systemic serious infection presumably unrelated to their inflammatory eye diseases (IED) [34]. Recently, an expert committee considered assessment and investigation of patients with severe IED initiating immunosuppressive and/or biologic therapy [35]. Infections that may be exacerbated or reactivated as a result of systemic immunosuppressive of biological therapy include: Tuberculosis, hepatitis B virus, hepatitis C virus, HIV and toxoplasmosis. These infection risks should be assessed or exclude before the initiation of such therapy. We keep our focus on risk of TB reactivation in IED patients. Studies regarding this issue are mainly focused on biological therapy, although some studies have indicate the potential risk for developing a TB when using traditional IS agents, particularly MTX [36]. But a significant relationship between the use of MTX and increased incidence of active TB was not established but should be still considered.
While it has been described that If TB develops during anti-TNF-α treatment, it is more likely to be disseminated and extra- pulmonary than are other TB cases. Few reports addressed the occurrence of uveitis tuberculosis development during anti-TNF treatment. A French group reported the uveitis cases occurring in patients with chronic rheumatic diseases, chronic inflammatory intestinal diseases or connective tissue diseases, while treated with disease-modifying anti-rheumatic drugs (DMARDs) and/or biologic therapies. A total of 32 cases of uveitis were reported, and 5 were of infectious origin, 2 toxoplasmosis, 2 herpes virus and 1 tuberculosis [37]. We faced one case of patient with SA and anterior uveitis treated with ADA for years, who developed a panuveitis with choroidal granulomas (Figure 1), associated with progressive cough, dyspnea, and pyrexia. A computed tomographic scan revealed extensive thoracic lymphadenopathy and interstitial shadowing of the lungs. Culture and polymerase chain reaction (PCR) of a mediastinal lymph node biopsy specimen showed acid-fast bacilli.
Bilateral tuberculosis panuveitis developing in a SA patients while under ADA therapy. (A) Eye fundus of the right eye displayed mild vitritis with yellowish deep round infiltrate lesion with discrete subretinal hemorrhage; (B) fluorescein angiogram (FA) at early phase revealed some multifocal hypofluorescent areas, which were easily seen on early stage indocyanin green angiogram (ICG); (C) ICG revealed larger hypofluorescent areas, better delimitated with sharp edges, confirming the choroidal localization of these multiple lesions corresponding to tuberculous granulomas.
There is a great deal of ambiguity in establishing a firm relationship between tuberculosis and ocular inflammation. It’s not uncommon, when investigating patients with uveitis, that there is no identifiable systemic or ocular disease and that the only positive test is Mantoux test or QFT associated or not to abnormalities on the chest X-ray. In those patients classically classified as idiopathic uveitis, and treated by immunomodulation, the role of Mtb in disease development has been questioned. On the other hand, the role of immunomodulation in the treatment of well-established tubercular uveitis is also debated.
Severe studies tried to establish a cause/effect relationship between TB and uveitis using some criteria for presumption of tubercular etiology including positive Mantoux test/QFR, healed lesions on the chest X-ray, no other etiology, and suggestive clinical presentation of uveitis [5, 6]. In such patients, the question arises as to whether the uveitis is related to TB or not, leading to the other question of establishing or not ATT.
Intra-ocular TB accounts for 6.9–10.5% of uveitis cases without a known active systemic disease and 1.4–6.8% of patients with active pulmonary disease have concurrent ocular TB [38, 39]. In some patients there is a direct invasion by TB mycobacterium, into local ocular tissues, such as in choroidal granuloma, as evidenced by the histopathological examination of the biopsied involved ocular tissue, smears and cultures of the tissue fluid, and the polymerase chain reaction (PCR). In other patients, there is no clinical evidence to suggest active ocular TB infection. The pathogenesis of uveitis in these patients remains unclear. It is uncertain whether the uveitis is the result of reactivation of LTBI or a hypersensitivity response to Mtb [38, 40]. Bansal proposed guidelines for the diagnosis of intra-ocular TB including a combination of clinical ocular findings, ocular and systemic investigations, exclusion of other etiology and response to ATT [41]. Based on these and their own results, Gupta et al. proposed to classify intra-ocular TB into confirmed, probable, and possible intra-ocular TB [11]. Recently The Collaborative Ocular Tuberculosis Study (COTS)-1 tried to clarify through a multinational retrospective review, what are the suggestive clinical features and approach to diagnosis of patients with tubercular uveitis. The diagnostic criteria for tubercular uveitis used in COTS-1 are developed in Table 3 [42]. Based on those criteria, we propose a diagram explaining the diagnostic pathways for patients suspected of having TB (Table 4). In 2018, they provided in more details the different phenotypes of choroidal involvement in tubercular uveitis, also geographical variations in the phenotypic expression and treatment outcomes. The phenotypic variants reported were serpiginous-like choroiditis (SLC) in 46.1%, choroidal tuberculomas (CTC) in 13.5%, and multifocal choroiditis (MFC) in 9.4%. Other rare phenotypic variants of choroiditis were observed including ampiginous choroiditis (APC) in 9.0% and acute posterior multifocal placoid pigment epitheliopathy (APMPPE) in 3.3% and other indeterminate type of choroiditis in 18.8%. Those varied clinical phenotypes are probably based on the interaction and activity of mycobacterium bacilli and immune system. While SLC was clearly the most prevalent phenotype in the Asia Pacific region, it was less prevalent in the West. Furthermore, APC is a phenotype of choroiditis that is infrequently reported in association with tubercular uveitis [43].
(COTS)-1 clarify, through a multinational retrospective review, the suggestive clinical features and approach to diagnosis of patients with tubercular (TB) uveitis.
Diagram explaining the diagnostic pathways for patients suspected of having TB.
Because TB can be sometimes confined purely to the eye, and as a pauci-bacillary infection, there is a lack of agreed management guidelines among ophthalmologists in establishing the diagnosis of intra-ocular TB. Similarly, there is no agreed consensus between ophthalmologists and other physicians with regards to role of ATT and duration of treatment in cases of isolated intra-ocular TB. Bansal et al. assessed the long-term impact of adding anti-tubercular treatment to the standard anti-inflammatory therapy consisting mostly of corticosteroids in patients with uveitis and evidence of latent or manifest TB. The group speculated that if uveitis was related to hypersensitivity reaction to tubercular antigens attributable to latent TB, the elimination of LTBI would lead to elimination of future recurrences of uveitis in these patients. The administration of anti-tubercular therapy in these patients substantially reduces recurrences when given along with standard corticosteroid therapy. Corticosteroids may limit damage to ocular tissues caused from delayed type hypersensitivity [41]. The use of ATT to manage presumed ocular tuberculosis is regarded as an effective tool for tubercular uveitis and response to therapy can be a good surrogate for diagnosis of presumed ocular tuberculosis.
A case control study conducted by Chee et al. on patients with uveitis with evidence of latent TB and no other underlying disease, who were treated with ATT for more than 9 months duration, were approximately 11 times less likely to develop recurrence of inflammation compared with patients who had not received ATT. This association was independent of potential confounders such as demographics, classification of uveitis and corticosteroid therapy. On the other hand, patients who were treated with ATT for <6 months or 6–9 months duration did have a reduction in recurrence, but this was not statistically significant [39]. The Collaborative Ocular Tuberculosis Study (COTS)-1 group also reported the role of ATT in the management of patients with TB uveitis from a multinational cohort and explore potential correlations of clinical features with treatment response. A low treatment failure rate was reported in patients with TB uveitis treated with ATT. On multivariate regression analysis, they showed that the presence of choroidal involvement with vitreous haze and snowballs in patients with panuveitis was associated with a higher risk of recurrence. Concerning the addition of corticosteroids to ATT, their results suggests that patients treated with corticosteroids may have had poorer outcomes than those who were not [42]. Effectively, the possible beneficial effect of immunomodulation in association of ATT in the management of tubercular uveitis is still debated. A recent meta analyze was conducted on 37 articles to assess the effect of ATT associated or not to IMT on ocular outcome of patients with presumed ocular TB. The meta-analysis revealed that 84% of the patients receiving ATT showed non-recurrence of inflammation during the follow-up period. A successful outcome was observed in 85% of patients treated with ATT alone; in 82% of patients treated with ATT and systemic steroids and in 85% of patients treated with ATT and systemic steroids and immunomodulators. It was not possible to conclude which regimen was the best to control ocular inflammation [44, 45, 46].
The link between tuberculosis, uveitis and immunosuppression are important and complex. First, patients with inflammatory diseases treated with IMT agents, including noninfectious uveitis patients, are at risk to develop active tuberculosis, including ocular tuberculosis. Secondly, many data suggest that Mtb might play a role in disease development of idiopathic uveitis in LTBI patients and that ATT must be considered in such cases. Finally, inflammatory and immune reaction are likely to play a role during ocular tuberculosis and immunomodulation has a beneficial effect.
In summary, we have to keep in mind that the main concern of TB screening for ophthalmologist is to avoid systemic TB reactivation in front of a sight threatening uveitis with known etiology destined to IS/IMT. But when facing an idiopathic uveitis under IS/IMT, there is another risks which has to be considered, the risk of ocular TB misdiagnosis with a non- or partial response to immunosuppressive treatment. Introduction of ATT in those cases will control inflammation, will help to discontinue most IMT and will prevent recurrences.
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Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:148,paginationItems:[{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:"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. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. 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:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{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:"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. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. 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This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"August 3rd, 2022",hasOnlineFirst:!0,numberOfOpenTopics:3,numberOfPublishedChapters:107,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:"Shenzhen Technology University",institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",fullName:"Reda R. Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/274999",hash:"",query:{},params:{id:"274999"},fullPath:"/profiles/274999",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()