Kidney Artificial Intelligence Discovery Challenge: From Nebulae to Nephrons
NIH Challenges invites AI-driven research to uncover novel patterns in kidney tissue and multi-omics data, advancing understanding of kidney disease through the Kidney Artificial Intelligence Discovery Challenge.
Funder: NIH Challenges
Due Dates: April 29, 2027 (Submission End Date)
Funding Amounts: $100,000 total prize purse; up to three awards: 1st ($50,000), 2nd ($30,000), 3rd ($20,000)
Summary: A national challenge to apply AI and computational methods to uncover novel patterns in kidney tissue images and multi-omics data, advancing kidney disease research and precision medicine.
Key Information: U.S. citizenship/permanent residency required for monetary prizes; non-U.S. participants may join teams but are not eligible for prize money.
Description
The Kidney Artificial Intelligence Discovery Challenge: From Nebulae to Nephrons, organized by NIH Challenges and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), seeks innovative applications of artificial intelligence, machine learning, and computational methods to analyze kidney tissue images and associated multi-omics and clinical data from the Kidney Precision Medicine Project (KPMP). The goal is to move beyond traditional analysis to uncover hidden structures, rare features, or unexpected disease signatures that could improve understanding of kidney disease mechanisms. The challenge encourages cross-disciplinary collaboration—engaging AI researchers, pathologists, nephrologists, and data scientists—to develop anomaly-detection techniques inspired by astronomy and other data-intensive sciences. Winning solutions are expected to catalyze new research directions, support patient stratification, and accelerate progress toward precision nephrology.
