CoDaS: AI Co-Data-Scientist for Wearable Biomarkers

Google-led multi-agent AI system that acts like a full data-science team. It processes 9k+ participants and millions of hours of wearable signals (HR, sleep, steps, etc.) to discover clinically useful biomarkers.

The Iterative Loop (core engine): Profile data + ground in literature, Parallel statistical + ML exploration, Iterative refinement — GapChecker & Critic agents repeatedly test, critique, and strengthen candidates, Adversarial validation (Critic vs Defender).