CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors

arXiv:2604.14615v1 Announce Type: new Abstract: Scientific discovery in digital health requires converting continuous physiological signals from wearable devices into clinically actionable biomarkers. We introduce CoDaS (AI Co-Data-Scientist), a multi-agent system that structures biomarker discovery as an iterative process combining hypothesis generation, statistical analysis, adversarial validation, and literature-grounded reasoning with human oversight using large-scale wearable datasets. Acro