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AI-Assisted Computational Approaches for Immunological Disorders

Jen-Tsung Chen

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Paperback

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English
Medical Information Science Reference
13 May 2025
Based on accelerated computing and advanced algorithms, artificial intelligence (AI) has become a game-changer in diverse fields. In biomedical science, AI models based on machine learning, deep learning, and generative AI, together with upgraded computational and systems biology, provide smart, precise, and personalized medicine and healthcare. In the field of clinical immunology, which deals with intrinsic complicated immune systems for combating immunological disorders, AI technologies have the potential to solve problems based on identification, prediction, simulation, and modeling. AI algorithms may impact sustainable clinical healthcare and future immunology diagnoses. AI-Assisted Computational Approaches for Immunological Disorders explores precision clinical medicine and personalized healthcare in major immunological disorders, such as immunodeficiency, autoimmune diseases, allergies, asthma, cancers, and neurological diseases. It analyzes clinical healthcare big data, genomics, and high-throughput multiple omics based on single-cell and high-dimensional data for their technical advances, clinical applications, challenges, and future directions. Covering topics such as cell therapy, reducing complications, and drug development, this book is an excellent resource for immunologists, biologists, healthcare practitioners, professionals, researchers, scholars, academicians, and more.
Edited by:  
Imprint:   Medical Information Science Reference
Country of Publication:   United States
Dimensions:   Height: 279mm,  Width: 216mm, 
ISBN:   9798369397268
Pages:   562
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He also teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen’s research interests include bioactive compounds, chromatography techniques, drug discovery, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals to advance the exploration of multidisciplinary knowledge involving bioinformatics, biotechnology, nanotechnology, ethnopharmacology, and systems biology. He serves as an editorial board member in reputed journals, and a guest editor in Frontiers in Pharmacology, Biomolecules, and Current Pharmaceutical Design. Dr. Chen published books in collaboration with Springer Nature, Wiley, Elsevier, CRC Press/Taylor & Francis Group, and CABI. He is handling book projects in collaboration with international publishers on topics of bioinformatics, drug discovery, epigenetics, nanotechnology, bioengineering, and so on. Dr. Chen has been listed in the World’s Top 2% Scientists by Stanford University in 2023.

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