Seminar 2026

Clinical trials are technical and expensive endeavours and therefore require extensive planning. AI agents are beginning to need to self evolve to catch up, but what does this look like Attendees can expect to learn: How agent evaluation frameworks and feedback loops will enable continuous self-learning and improvement in clinical workflows What success looks like including defining and tracking business metrics that quantify efficiency, accuracy, and operational impact of AI in trials What clinical operations leaders should be prioritising now to ensure scalable, accountable, and high-performing AI adoption