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.

Azhar ul Haque Sario is a bestselling author and data scientist with a remarkable record of achievement. This Cambridge alumnus brings a wealth of knowledge to his work, holding an MBA, ACCA (Knowledge Level - FTMS College Malaysia), BBA, and several Google certifications, including specializations in Google Data Analytics, Google Digital Marketing & E-commerce, and Google Project Management. With ten years of business experience, Azhar combines practical expertise with his impressive academic background to craft insightful books. His prolific writing has resulted in an astounding 2810 published titles, earning him the record for the maximum Kindle editions and paperback books published by an individual author in one year, awarded by Asia Books of Records in 2024. This extraordinary achievement has also led to Azhar being awarded an honorary PhD from World Records University UK, which he will soon receive. ORCID: https://orcid.org/0009-0004-8629-830X Azhar.sario@hotmail.co.uk