CoDaS

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