Artificial Intelligence is no longer a future concept in clinical trials, it’s here. But real-world adoption has surfaced both promising breakthroughs and unexpected roadblocks. This session takes a practical look at how AI has been applied in clinical research to date, what has worked, what hasn’t, and what still needs to be addressed. Join industry experts as they share lessons learned from implementation, explore ongoing challenges, and discuss where AI is headed in transforming clinical development.

Learning Objectives:

1. Summarize real-world applications of AI in clinical trials and the outcomes observed.
2. Identify key challenges and barriers encountered in implementing AI across the clinical trial lifecycle.
3. Explore emerging trends, evolving best practices, and future opportunities for AI in clinical research.