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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalArtificial Intelligence in Pharmaceutical Sciences examines the transformation reshaping how medicines are discovered, developed, manufactured, and evaluated in an increasingly data-driven world. As biological systems grow more complex and traditional analytical approaches reach their limits, artificial intelligence is emerging as a foundational scientific framework within pharmaceutical research.
This book presents AI not as a collection of tools, but as a discipline that redefines how knowledge is generated and decisions are made under uncertainty. It connects core pharmaceutical principles with computational reasoning, illustrating how chemical, biological, clinical, and real-world data are integrated across the pharmaceutical lifecycle.
Emphasizing conceptual clarity over narrow application, the text explores pharmaceutical data ecosystems, learning paradigms, model development, and governance within real scientific and regulatory constraints. It explains why linear research models are no longer sufficient and how intelligent systems enable earlier risk identification and more reliable evidence generation.
Importantly, the book addresses the boundaries of artificial intelligence in healthcare, reinforcing the essential role of human judgment, explainability, and accountability. Written for postgraduate students, researchers, and professionals, it offers a rigorous and accessible foundation for understanding AI as a transformative force in pharmaceutical sciences.
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Your review has been deleted and won’t appear on the book anymore.Shrey Dahiya, Archana Mehrotra, Rajiv Dahiya
Mr. Shrey Dahiya is a graduate student at the Graduate School of Technology, Touro University. His work focuses on the integration of pharmaceutical sciences and artificial intelligence, with emphasis on data-driven drug development, learning systems, and responsible AI use in regulated healthcare. He approaches artificial intelligence as a scientific discipline, combining pharmaceutical fundamentals with computational reasoning to deliver clear, rigorous, and practically relevant insights.
Prof. Archana Mehrotra is the Principal of the Sarvepalli Radhakrishnan Institute of Pharmaceutical Sciences, Sarvepalli Radhakrishnan (SRK) University. An accomplished academic leader, she has extensive experience in pharmaceutical education, curriculum development, and institutional governance. Her editorial guidance ensures academic consistency and postgraduate-level rigor.
Prof. Rajiv Dahiya is affiliated with the School of Pharmacy, Faculty of Medical Sciences, The University of the West Indies. With broad experience in pharmaceutical and clinical research, he provides strong scientific oversight and an international perspective, enhancing the book’s scholarly depth and global relevance.
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