Big Data and AI in Drug Surveillance

This book explores how cutting-edge technologies are transforming how we monitor drug safety. It dives into the world of AI, big data, and drug surveillance.  It covers crucial topics like using AI for personalized medicine, detecting side effects, and predicting drug interactions. The book also explains how AI helps find new uses for existing drugs and monitors the safety of vaccines and biologics. It even delves into ethical considerations and the future of AI in drug surveillance.

What sets this book apart is its focus on real-world applications. It provides practical examples and case studies throughout, making it relevant for professionals in various fields. It bridges the gap between theory and practice, offering valuable insights for researchers, healthcare professionals, and policymakers.  If you want to stay ahead of the curve in drug safety, this book is your guide.