WEBINAR ON DEMAND
Duration: 1 hour

While artificial intelligence (AI) brings significant advancements to clinical trials—including patient recruitment, data analysis, and real-time monitoring—it is not a panacea for the complexities of clinical development. This includes slow enrollment: Roughly 80% of studies do not meet their initial enrollment expectations. These challenges are particularly pronounced among rare disease protocols as well as populations prone to care transitions.

What can AI’s role be in healthcare and life sciences, particularly clinical trial site identification and patient recruitment? Watch the webinar that explores how AI can bring significant advancements to clinical trials. Topics include:

• AI’s role in clinical research and how it may solve decades-old problems.
• How to identify clinically important issues that could be best addressed with AI.
• A four-part process in optimizing the use of AI in clinical research.
• A case study of how one researcher supported improved patient identification.

SPEAKERS

Justin North
Director of Product Management
TriNetX, LLC

Limor Appelbaum MD
Staff Scientist, Department of Radiation Oncology
Beth Israel Deaconess Medical Center (BIDMC)

Prof. Martin Rinard
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology