CoDaS

CoDaS (AI Co-Data-Scientist) is a Google multi-agent AI system for biomarker discovery from wearable sensor data. It structures discovery as an iterative workflow combining hypothesis generation, deterministic statistical and machine-learning analysis, adversarial validation, literature-grounded reasoning, report synthesis, and human oversight.