This session will highlight how artificial intelligence (AI) and machine learning (ML) are revolutionizing the drug discovery process ? from target identification and compound screening to lead optimization and clinical trial design. Leading researchers and industry innovators will present the latest tools, algorithms, and case studies demonstrating how data-driven approaches accelerate timelines, reduce costs, and improve success rates in developing new therapeutics. The session will also address practical challenges, integration with traditional wet-lab workflows, data quality issues, and regulatory considerations for AI-driven pipelines.