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Google, DeepMind, and MIT jointly launch the multi-agent AI system CoDaS, capable of autonomously running the entire biomarker discovery process

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ME News Report, April 20 (UTC+8), a joint team from Google Research, Google DeepMind, and MIT recently launched the multi-agent AI system CoDaS. This system aims to autonomously operate throughout the entire biomarker discovery lifecycle, from analyzing raw wearable sensor data and generating hypotheses to conducting statistical analysis. An early finding of this system is that "late-night doomsday scrolling" is a statistically significant predictor of depression severity (ρ = 0.177, p < 0.001, n = 7,497). Notably, the AI system autonomously named this feature without human guidance. (Source: InFoQ)
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