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.