Artificial Intelligence and Blockchain in Precision Medicine and Virology
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The book stands at the intersection of medical virology, computer science engineering, and artificial intelligence. This interdisciplinary book seeks to harness the strengths of these fields to address the complex challenges of diagnosing, treating, and managing viral diseases. Medical virology, which studies viruses and virus-like agents, plays a critical role in understanding infectious diseases and developing therapeutic strategies. However, the field faces immense challenges due to the sheer volume and complexity of virological data, which demands advanced computational tools for effective…mehr

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Produktbeschreibung
The book stands at the intersection of medical virology, computer science engineering, and artificial intelligence. This interdisciplinary book seeks to harness the strengths of these fields to address the complex challenges of diagnosing, treating, and managing viral diseases. Medical virology, which studies viruses and virus-like agents, plays a critical role in understanding infectious diseases and developing therapeutic strategies. However, the field faces immense challenges due to the sheer volume and complexity of virological data, which demands advanced computational tools for effective analysis and application.

Computer science engineering provides the technological backbone for this initiative. Engineers in this field develop and implement sophisticated algorithms and data structures that enable the processing of large-scale virological datasets. In this context, computer science engineering is pivotal for creating the infrastructure necessary for deep learning and blockchain technologies. Deep learning, a branch of artificial intelligence, involves training neural networks to recognize patterns in vast datasets, enabling the discovery of insights that are otherwise obscured. When applied to medical virology, deep learning can significantly enhance the accuracy of viral diagnostics, predict disease outbreaks, and personalize treatment regimens based on the genetic makeup of both viruses and patients
Autorenporträt
Jyotir Moy Chatterjee currently holds a position as an Assistant Professor in the Department of Computer Science and Engineering (CSE) at Graphic Era Deemed to be University, located in Dehradun, Uttarakhand, India. He also serves as a Visiting Faculty Assistant Professor in the Department of Information Technology (IT) at Lord Buddha Education Foundation in Kathmandu, Nepal, affiliated with Asia Pacific University, Malaysia. Prior to these engagements, he fulfilled roles as an Assistant Professor and Program Leader for the Bachelor of Science in Information Technology (B.Sc. IT) program at Lord Buddha Education Foundation and as Assistant Professor in the CSE Department at GD-Rungta College of Engineering & Technology, affiliated with Chhattisgarh Swami Vivekananda Technical University in Bhilai, India. His academic qualifications include a Master of Technology (M.Tech) in Computer Science and Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, obtained in 2016, and a Bachelor of Technology (B.Tech) in Computer Science and Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai, acquired in 2013. His research interests are primarily concentrated on machine learning and deep learning. Professor (Dr.) Shailendra K. Saxena holds the position of Vice Dean and Professor at King George's Medical University, Lucknow, India. His research is centered on elucidating the molecular mechanisms of host defense mechanisms during human viral infections and developing novel predictive, preventive, and therapeutic strategies, utilizing both emerging and re-emerging viruses as models through stem cell and cell culture technologies. His scholarly work is extensively published in high-impact journals such as Science, Proceedings of the National Academy of Sciences (PNAS), and Nature Medicine, attracting significant citations. He has received numerous prestigious awards and honors both in India and internationally, including several Young Scientist Awards, the Biotechnology and Biological Sciences Research Council (BBSRC) India Partnering Award from the UK, the Dr. JC Bose National Award from the Department of Biotechnology, Ministry of Science and Technology, Government of India, and fellowships with various eminent bodies such as The Royal College of Pathologists (UK), the Royal Societies of Biology and Chemistry, London, UK, the Academy of Translational Medicine Professionals, Austria, and the Indian Virological Society. Recognized as the "Global Leader in Science" by The Scientist magazine (USA), he is also acknowledged as an International Opinion Leader/Expert on vaccination for Japanese Encephalitis (JE) by the Immunisation Practice Improvement Consortium (IPIC, UK). His inclusion in the "World's Top 2% Scientists" list by Stanford University, California, USA, highlights his significant contributions to global research.