Revolutionizing Drug Research and Personalized Medicine Through AI and Machine Learning (Paperback)

Artificial intelligence (AI) and machine learning (ML) transform drug research and personalized medicine by enabling faster, more precise, and data-driven approaches to healthcare. By analyzing complex datasets, AI-driven models can identify drug targets, predict interactions, and optimize drug development timelines. These technologies pave the way for personalized medicine, allowing treatments to be tailored to individuals' health. Together, AI and machine learning revolutionize how medicines are discovered, developed, and delivered, offering more effective therapies and improved patient outcomes. Revolutionizing Drug Research and Personalized Medicine Through AI and Machine Learning examines the effects of AI and ML on the pharmaceutical sector. It explores how intelligent technologies transform traditional drug research and development, highlighting their importance in personalized treatment methods. This book covers topics such as molecular design, phytochemicals, and vaccine development, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists.

Dr. Adinarayana Andy is a licensed pharmacist and research scientist with over sixteen years of experience bridging clinical pharmacy practice, pharmaceutical innovation, and operations management. A multidisciplinary expert, Dr. Andy holds a unique combination of credentials: a PhD in Biotechnology, an MBA in Project Management, and active licensure as a pharmacist. Served as Pharmacist-in-Charge at Weatherwax Family Pharmacy in Michigan, Dr. Andy directs clinical operations with a focus on medication therapy management (MTM), immunization initiatives, and public health outreach. His leadership is grounded in extensive industry experience with global pharmaceutical organizations, including Bristol-Myers Squibb-Biocon, Cadila Pharmaceuticals, and Dr. Reddy’s Laboratories. In these roles, he contributed significantly to drug development, regulatory affairs, and quality assurance frameworks. Andy earned his PhD in Biotechnology from Acharya Nagarjuna University and an MBA from the University of the Cumberlands, USA. He also holds a Master of Pharmacy in Pharmaceutical Analysis and Quality Assurance from Biju Patnaik University of Technology and a Bachelors of Pharmacy from Andhra University. An active contributor to the scientific community, Dr. Andy serves as a peer reviewer for international journals, championing evidence-based strategies to improve patient outcomes and healthcare delivery.

Dr. Aman Suresh T is an Assistant Professor in Pharmacy Practice, currently serving at the Faculty of Pharmacy, Dr. M.G.R. Educational and Research Institute, Chennai. With a Pharm.D and ongoing PhD in Pharmacy Practice from SIMATS, he brings academic depth and clinical insight to his teaching and research. His teaching repertoire includes subjects such as pharmacotherapeutics, biostatistics, and pharmacoepidemiology for undergraduate and doctoral pharmacy programs. Dr. Aman is an active contributor to scholarly literature with multiple publications in Scopus and Web of Science-indexed journals, including research on diabetes, nephrology, and pharmacovigilance. His work has earned recognition such as subject-wise ranks at RGUHS and a prestigious ASCPT LMIC Travel Grant. Beyond academia, Dr. Aman has reviewed over 200 manuscripts and serves on editorial boards of reputed journals like Acta Scientific Pharmaceutical Sciences, PLOS ONE, and Cureus. He is also a frequent workshop resource person and guest lecturer on clinical pharmacy and regulatory topics. With strong skills in academic mentorship, interdisciplinary collaboration, and public health education, he actively bridges classroom instruction with real-world clinical practice.

Anmol Budhewar serves as an Assistant Professor in Computer Engineering, with research interests spanning artificial intelligence, machine learning, blockchain-enabled systems, and secure computing architectures. In the previous academic year, he published one Scopus-indexed research article and one IEEE international conference paper, demonstrating his commitment to high-quality scholarly dissemination. He contributes extensively to the academic peer-review ecosystem, serving as a reviewer for multiple international journals and edited books, and earning several Certificates of Excellence for review quality. Notably, he reviewed four research articles for SN Computer Science (Springer Nature) on topics including blockchain security, medical image analysis, fraud detection, and authentication systems. His academic work emphasizes integrating intelligent computational models with real-world applications in healthcare, cybersecurity, and data-driven decision systems. Through research, reviewing, and teaching, he strengthens methodological rigor and interdisciplinary innovation in computer engineering.