Clinical trials for large-population diseases face persistent challenges and remain the most complex and resource-intensive steps in drug development. Patient recruitment often lags, administrative bottlenecks delay study timelines, and operational inefficiencies that span into patient services and safety can hinder data quality and regulatory compliance. Agentic AI – intelligent systems capable of autonomous decision-making and task execution – offers transformative potential for the life sciences industry. This session will explore how agentic AI can streamline trial design, patient services, and execution across the entire study lifecycle.