Research Topic

Bioinformatics and Medical Informatics

PART OF IntechOpen Book Series: Biomedical Engineering

ISSN 2631-5343

Research Topic on Bioinformatics and Medical Informatics - always open for submissions, with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Topic Editor Associate Prof. Slawomir Wilczynski and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

always open for submissions


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.


Biomedical Data Drug Discovery Clinical Diagnostics Decoding Human Genome AI in Personalized Medicine Disease-prevention Strategies Big Data Analysis in Medicine

Topic Editor

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Slawomir Wilczynski

Medical University of Silesia,

Part of book series

Biomedical Engineering

Publication details

BOOK SERIES DOI 10.5772/intechopen.71985

ISSN 2631-5343


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