Accelerating Clinical Research: Harnessing Multi-Modal Data, AI, and Secure Collaboration

In the dynamic landscape of healthcare, the convergence of data, AI and collaborative efforts is reshaping the way we approach challenges and opportunities in academic medical research. This panel discussion will explore how large-scale multi-modal data in clinical research is creating both opportunities to improve patient outcomes and challenges for existing research infrastructure. Through practical, real-world examples, the panel will discuss how modern data and AI solutions are helping address these challenges and accelerate clinical research.

Join experts from Indiana University, Manifold, and Snowflake to learn how to:

• Break down data silos
• Integrate and analyze large-scale clinical and multi-modal data
• Collaborate securely with both internal teams and across external institutions 
• Use AI to automate data operations and surface insights faster