🧬 Google, DeepMind & MIT build AI Scientist for biomarker discovery
A joint team from Google Research, Google DeepMind, and MIT introduced CoDaS, a multi-agent system that can run the full biomarker discovery pipeline autonomously from raw wearable sensor data to hypothesis generation, statistical validation, and final manuscript writing.
• Discovered and named new biomarkers with no human guidance, including “late-night doomscrolling” as a predictor of depression severity.
• Built-in adversarial checks rejected flawed but misleading results, like using glucose² to predict insulin resistance
A joint team from Google Research, Google DeepMind, and MIT introduced CoDaS, a multi-agent system that can run the full biomarker discovery pipeline autonomously from raw wearable sensor data to hypothesis generation, statistical validation, and final manuscript writing.
• Discovered and named new biomarkers with no human guidance, including “late-night doomscrolling” as a predictor of depression severity.
• Built-in adversarial checks rejected flawed but misleading results, like using glucose² to predict insulin resistance
