Revolutionizing Drug Development: Harnessing AI and Computational Biology

Jen-Tsung Chen

Jan 2026 · Academic Press

Ebook

230

Pages

Eligible

This book will become available on January 1, 2026. You will not be charged until it is released.

About this ebook

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

About the author

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. His research spans bioactive compounds, chromatography, plant molecular biology and biotechnology, bioinformatics, and systems pharmacology. An active book and journal editor, he serves on editorial boards and has guest-edited special issues for several international journals. Dr. Chen has authored and edited books with international publishers on topics including drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, speed breeding, CRISPR-based plant genome editing, and artificial intelligence. In 2023 and 2024, he was listed by Elsevier and Stanford University among the “World’s Top 2% Scientists. In 2023 and 2024, he was listed by Elsevier and Stanford University among the “World’s Top 2% Scientists and also received the Springer Nature Editor of Distinction Award in 2025.

Reading information

Smartphones and tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and computers

You can listen to audiobooks purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.

Report illegal content