1 of 12 finalistsPitch
Finalist, Healthtech × AI Pitch Competition
Selected as one of 12 finalists for the Future of Healthtech × AI pitch competition on September 29 in San Francisco, hosted by the Berkeley Pharma Tech Foundation.
1 of 12 finalistsPitch
Selected as one of 12 finalists for the Future of Healthtech × AI pitch competition on September 29 in San Francisco, hosted by the Berkeley Pharma Tech Foundation.

Event
The Massachusetts Health Council’s summit on shaping the future of equitable healthcare with responsible, human-centered AI, an official Boston AI Week event.


Award
Our paper was selected in the top 3 through double-blind peer review and won first place in the Innovation Track at Signal Through the Noise 2026, held at Harvard Medical School. Poornima Dubey, PhD, presented “Directing the Test That Was Never Ordered: Pre-Specified Temporal Evaluation of a Case-Finding Model for Albuminuria in Adults With Preserved eGFR.”


World Medical Innovation ForumBoston · 2026Event
Mass General Brigham’s annual forum, bringing together health system leaders, investors, clinicians and founders on the future of healthcare innovation.
Pitch
We presented NephroSense AI at the inaugural NYC AI Nexus Demo Day, the showcase for the program’s spring cohort run by C10 Labs.
Finalist · pitched livePitch
Selected as a finalist and pitched live to a panel of investors and operators at the first New York edition of Oasis Collective’s Women in AI Pitch Competition.
Inaugural cohortProgram
Selected for the inaugural cohort of NYC AI Nexus, the applied-AI accelerator run by C10 Labs with the New York City Economic Development Corporation.
IP
Patent-pending technology. Provisional patent filed March 2026.
These are milestones for the company, not evidence about the model. Retrospective feasibility demonstrated on a US adult clinical cohort. Independent external validation is in progress and is not yet complete. See where the evidence stands →
Start a conversation about a retrospective look-back, or try the clinical demo with built-in scenarios.