AI IN PHARMACEUTICAL SCIENCES

For pharmacy students, researchers, educators, and working professionals, understanding the applications of AI in pharmaceutical sciences has become increasingly important. This book provides a structured introduction to the convergence of Artificial Intelligence and pharmaceutical science, covering the major areas in which AI is influencing the pharmaceutical product lifecycle.

The book begins with the foundations of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI, and progresses to their applications in drug discovery and molecular design, formulation development, Quality by Design, pharmaceutical manufacturing, clinical trials, precision medicine, pharmacovigilance, regulatory affairs, pharmacoinformatics, and bioinformatics.

It also brings together two complementary perspectives. Divyani Chitra Jha, a B. Pharm graduate of LNCT, Bhopal, anchors the pharmaceutical science content, including drug discovery, formulation, manufacturing, and clinical research. Adv. S. K. Jha, an advocate holding an LLB degree, Diploma in IPR, postgraduate degree in Economics, and PGDBA, contributes the regulatory and intellectual-property perspective found throughout the book, including the Legal & IP Insight sections.

As AI continues to reshape pharmaceutical science, its implications extend beyond technology. Questions of regulation, intellectual property, ethics, data privacy, transparency, accountability, and responsible use of AI are becoming increasingly important. This book therefore considers both the scientific opportunities and the wider regulatory and legal dimensions of AI-driven pharmaceutical innovation.

Thanks,

Authors : -

Divyani Chitra Jha & Adv. S. K. Jha