NIH Challenges funds digital twin and synthetic data modeling research to advance whole-person health and reduce chronic disease disparities through integrated, AI-ready computational platforms.
Advance Whole-Person Data Integration and Reimagine Data Science Computations and Analytics to Address Chronic Disease Disparity Grand Challenge supports teams building reusable data tools to reduce disease disparities.
NIH Challenges seeks innovative smart devices and sensing technologies to generate AI-ready data and reduce chronic disease disparities in high-risk populations.
This grant funds the development of advanced AI tools to integrate diverse datasets and accelerate precision medicine research for understanding, preventing, and treating Type 1 diabetes.
Real-World Evidence Innovation Challenge supports individuals, teams, and entities validating clinical data analytic methods to establish reliable, reproducible performance across health systems.
Childhood, Adolescent and Young Adult Cancer Data Innovation Challenge supports institutional teams building data resources and analytical tools to advance cancer insights and improve young patients' outcomes.