Accelerating clinical research: Harnessing multimodal data, AI and secure collaboration

Tuesday, July 9th, 2024 | 12:00 PM - 1:00 PM CT

In the dynamic landscape of healthcare, the convergence of data, AI and collaborative efforts is reshaping challenges and opportunities in academic medical research. 

This panel discussion will explore how large-scale multimodal 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 multimodal data
  • Collaborate securely with both internal teams and across external institutions
  • Use AI to automate data operations and surface insights faster

Presenters:

Murali-Gandhirajan - Sydney Mason

Murali Gandhirajan

Global Healthcare CTO, Snowflake

Joe W. Photo - Sydney Mason

Joe Warbington

Industry Principal, Healthcare, Snowflake

Emily-Nelson

Emily Nelson

Data and Regulatory Team Manager & ORIEN Program Manager
Indiana University Melvin and Bren Simon Comprehensive Cancer Center

Dr-Storniolo-LI

Anna Maria Storniolo, MD

Senior Research Professor
Indiana University School of Medicine

Sourav-Dey

Sourav Dey, PhD

Chief Product Officer, Manifold