Artificial Intelligence for Drug Discovery and Development

药物发现 药品 药物开发 计算机科学 医学 药理学 生物 生物信息学
作者
Ashish Singh Chauhan,Pallavi Ghildiyal,Shital Yadav
标识
DOI:10.63686/978-81-987694-7-3
摘要

In recent years, artificial intelligence (Al) has transitioned from a conceptual promise to a transformative force across a wide spectrum of industries. Among these, the pharmaceutical sector has emerged as a fertile ground for AI-driven innovation, particularly in the reahns of drug discovery and development. The convergence of computational power, advanced algorithms, and vast biomedical datasets is reshaping how researchers identify drug targets, design molecules, predict therapeutic responses, and optimize clinical outcomes. This book, Artificial Intelligence for Drug Discovery and Development, is an endeavor to comprehensively explore the evolving synergy between AI and pharmaceutical sciences_ Comprising one hundred meticulously curated chapters, the book spans foundational concepts, current technologies, and cutting-edge applications that underscore Ars critical role in accelerating the drug development pipeline—from initial discovery to market-ready therapeutics. The chapters are structured to guide readers through a logical progression: beginning with the historical evolution of AI in pharma, advancing through specific applications like machine learning, deep learning, natural language processing, and culminating in futuristic paradigms such as quantum AI and digital therapeutics. In doing so, the book bridges academic theory with real-world application, offering valuable insights to students, researchers, clinicians, pharmaceutic al professionals, and data scientists alike. Each chapter provides a focused view into a specific domain, whether it is molecular property prediction, clinical trial optimization, pharmacovigilance, or smart manuficturing. The inclusion of emerging topics such as explainable AI, AI in pharmacogenomics, digital twins, and AI powered regulatory compliance reflects the dynamic and interdisciplinary nature of the field. We hope this comprehensive compilation serves as a definitive reference and inspires further innovation at the intersection of artificial intelligence and pharmaceutical development. As we stand at the frontier of a new era in medicine, this book aims to contribute to the responsible and impactful application of AI to improve human health and well-being.

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