Artificial Intelligence in Pharmacy: Applications, Challenges, and Future Directions in Drug Discovery, Development, and Healthcare

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Authors

Sarika Patil
Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth, Karad, India

Keywords:

Artificial Intelligence, Machine Learning, Drug Discovery, Healthcare, Neural Networks, Natural Language Processing

Synopsis

The convergence of artificial intelligence (AI) and pharmaceutical sciences marks a transformative era in health care—one where data-driven insights, predictive modeling, and intelligent automation are redefining how we discover, develop, regulate, and deliver medicines. This book, AI in Pharmacy: Shaping the Future of Health Care, is a response to that paradigm shift. As a researcher and educator deeply rooted in regulatory affairs, nanomedicine, and translational pharmacology, I have witnessed firsthand the growing need for a cohesive understanding of how AI technologies can be harnessed to solve complex challenges in drug development, clinical trials, pharmacovigilance, and personalized medicine. This book is born out of that need—to bridge the gap between pharmaceutical science and computational innovation. The chapters within explore the multifaceted applications of AI across the pharmaceutical value chain. From machine learning algorithms that accelerate drug discovery to neural networks that optimize dosage regimens, and from AI-powered regulatory compliance tools to intelligent systems for adverse event detection, each section is designed to illuminate the potential and limitations of these technologies. Special attention is given to ethical considerations, data integrity, and the evolving regulatory landscape that governs AI integration in health care.

This book is intended for a diverse audience: students seeking to understand the future of pharmacy, researchers aiming to incorporate AI into their experimental workflows, regulatory professionals navigating digital transformation, and clinicians curious about the implications of intelligent therapeutics. It is both a primer and a provocation—inviting readers to imagine, question, and contribute to the future we are collectively shaping.

I extend my gratitude to the mentors, collaborators, students & my family members mother, brother, my son who have inspired this work, and to the global scientific community whose interdisciplinary efforts continue to push the boundaries of possibility. May this book serve as a catalyst for innovation, dialogue, and responsible advancement in the age of intelligent health care.

References

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Published

8 August 2025

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-204-3

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-145-9

How to Cite

Patil, S. . (2025). Artificial Intelligence in Pharmacy: Applications, Challenges, and Future Directions in Drug Discovery, Development, and Healthcare. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-204-3