AI-Driven Drug Discovery

Explores how artificial intelligence is revolutionizing pharmaceutical research and development. Chapters cover the current landscape of drug discovery, AI technologies applied to the process — machine learning, deep learning, molecular modeling — data sources and management, and AI's role in target identification and lead optimization. Traditional drug discovery takes over a decade and costs billions. AI-driven approaches can shrink both timelines and costs by predicting molecular behavior, repurposing existing drugs, and identifying promising candidates faster. This book surveys the methods and technologies making that possible.