Clinical development programs now take 2 years longer than they did a decade ago, as increasing complexity, protocol amendments, regulatory demands, and recruitment challenges continue to slow progress. In this webinar, explore how predictive clinical development helps sponsors identify risks earlier, accelerate critical development decisions, reduce delays both within and between trials, and execute with greater speed and predictability. Learn how early engagement, real-world evidence, AI-enabled intelligence, and integrated delivery models can help transform clinical development from a reactive process into a more predictive, connected, and accelerated pathway to patients.

Key Takeaways

• A framework for identifying the decisions, risks, and inefficiencies that most commonly delay clinical development
• An understanding of how early engagement, real-world evidence, and AI-enabled intelligence can accelerate critical development decisions and improve confidence in the chosen path forward
• Practical insights into how sponsors can reduce development “white space,” improve execution predictability, and bring therapies to patients faster

Speakers

Brian O’Dwyer
President, Global Clinical Development
IQVIA

Cynthia Verst, PharmD, MS
President, Design and Delivery Innovation
IQVIA

Kenneth Getz, MBA
Director and Professor
Tufts Center for the Study of Drug Development, Tufts University School of Medicine