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
In Partnership with :
Speakers
Anna Maria Storniolo, MD
Senior Research Professor, Indiana University School of Medicine
Emily Nelson
Data and Regulatory Team Manager & ORIEN Program Manager, Indiana University Melvin and Bren Simon Comprehensive Cancer Center
Sourav Dey, PhD
Chief Product Officer, Manifold
Murali Gandhirajan
Global Healthcare CTO, Snowflake
Joe Warbington
Industry Principal, Healthcare, Snowflake