Rescuing Low Accrual Clinical Trials with Generative Models

Patient recruitment shortfalls threaten trial success, leading to underpowered studies, increased patient risk, and wasted resources. When enrollment targets fall short, critical research is delayed, regulatory approvals stall, and potential treatments remain inaccessible.

This webinar, hosted by the Electronic Health Information Laboratory, examines the application of AI-driven generative models to simulate patient cohorts, mitigate recruitment challenges, and maintain statistical power in clinical trials. Experts share research findings and practical use cases, demonstrating how this approach supports trial feasibility, improves recruitment strategies, and ensures studies generate rigorous, regulatory-aligned, decision-grade evidence.

Featured speakers:
Lucy Mosquera, Senior Director, Generate Operations & Data Science, Aetion
Dr. Samer El Kababji, Associate Scientist, CHEO RI
Dr. Khaled El Emam, Professor, University of Ottawa

View the full webinar on demand here.