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Data Without Borders: Accelerating Therapeutic Discovery Through Inclusive Health Intelligence

June 23, 2026
29C
Type: Breakout Session
Focus Area: Diagnostics and Personalized Medicine
Intelligence Precision Medicine cannot achieve its promise if entire populations remain underrepresented in the data that fuels it. As multiomic and real-world datasets expand, the next wave of therapeutic innovation will depend on how inclusively we capture and interpret human diversity. This session explores how inclusive health intelligence integrating genomic, transcriptomic, proteomic, and real-world evidence from underrepresented populations can drive discovery across the full translational pipeline. Panelists from leading research institutions, national programs, and data consortia will discuss how diversity in data enhances variant discoveries, strengthens model generalizability, and leads to more representative and effective precision medicine. Together, the panel will outline a vision for inclusive, interoperable, and trustworthy health intelligence that accelerates discovery for all populations.

Subtopic

Public, Private and Academic Research Programs (NIH All of Us Research Program, Genome Centers, Biobanks, Databanks)
Moderator
Vinod Gauba, MD
Chief Executive Officer
GeneVault Lifesciences Inc.
Speakers
Darren L. Brodeur, BS
Founder & Principal Consultant
DLB Consulting Group
Caroline Duncan, PhD
Ph.D, Johns Hopkins University
Johns Hopkins Bloomberg School of Public Health
Sheri Schully, PhD
Deputy Chief Data Science Officer, All of Us Research Program
National Institutes of Health (NIH)

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