Revolutionizing Drug Development: Harnessing AI and Computational Biology

Jen-Tsung Chen

2026년 1월 · Academic Press

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eBook 정보

Revolutionizing Drug Development: Harnessing AI and Computational Biology presents cutting-edge Artificial Intelligence tools, particularly machine and deep learning models, and generative AI, to assist structure-based drug design, clinical trial design and integrate with drug development programs. This book summarizes technical advancements of artificial intelligence (AI)-based technologies and computational biology approaches, highlighting their applications in developing new drugs through discovery, re-purposing, and designing, for advancing R&D in the pharmaceutical industry and benefiting precision medicine. It presents cutting-edge AI tools, particularly machine and deep learning models, and generative AI, to assist structure-based drug design, and clinical trial design and integrate with drug development programs. The readers of this book can efficiently and precisely overview this burning field which might inspire their future directions of research in drug development and AI-based digital biology. Revolutionizing Drug Development: Harnessing AI and Computational Biology presents knowledge of drug development using edge tools of computational biology and AI models and thus can be an ideal reference for students, teachers, professors, and researchers in biological science particularly, the topics related to bioinformatics, systems biology, and drug development. - Provides cutting edge Artificial Intelligence technologies in drug development - Presents ways to utilize Artificial Intelligence models for drug discovery, re-purposing, and design - Summarizes current achievements of Artificial Intelligence models for accelerating drug development programs

저자 정보

Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He teaches cell biology, genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen’s research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, systems biology, and drug discovery. He serves as an editorial board member and a guest editor in several reputed journals. Dr. Chen published books in collaboration with international publishers on diverse topics such as drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, CRISPR-based genome editing, and artificial intelligence. In 2023 and 2024, Elsevier and Stanford University recognized Dr. Chen as one of the “World’s Top 2% Scientists.