Artificial Intelligence in Pharmaceutical Sciences

Artificial Intelligence in Pharmaceutical Sciences

Artificial Intelligence is increasingly shaping how medicines are discovered, developed, manufactured, and monitored. Yet for many students and professionals in pharmaceutical sciences, AI often appears abstract, fragmented, or disconnected from real pharmaceutical practice.

This book presents Artificial Intelligence as it is practically applied across the pharmaceutical lifecycle. Rather than focusing on algorithms in isolation or exaggerated claims, it explains AI as a scientific support system that assists decision-making in drug discovery, preclinical research, clinical trials, pharmacovigilance, manufacturing, quality systems, and regulatory affairs.

The content progresses logically from foundational concepts to applied use cases, helping readers understand how AI interacts with biological data, experimental workflows, and regulatory frameworks. Special emphasis is placed on why AI is used, where it adds value, and how its limitations must be managed in safety-critical healthcare environments. Throughout the book, AI is positioned as a complement to pharmaceutical expertise—not a substitute for scientific judgment, ethical responsibility, or regulatory control.

Written in clear and structured academic language, this book is intended for pharmacy students, researchers, educators, and industry professionals seeking a realistic and grounded understanding of AI in pharmaceutical sciences.