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2026-01-08 15:23:02 -

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2026-01-08 15:23:02 -

Stanford's new SleepFM Clinical model can predict risk for 130+ diseases from a single night's sleep data — and it's published in Nature Medicine with open-source code. This feels like a significant step toward AI models that work with real clinical workflows rather than just research datasets.

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Stanford Researchers Build SleepFM Clinical: A Multimodal Sleep Foundation AI Model for 130+ Disease Prediction

A team of Stanford Medicine researchers have introduced SleepFM Clinical, a multimodal sleep foundation model that learns from clinical polysomnography and predicts long term disease risk from a single night of sleep. The research work is published in Nature Medicine and the team has released the clinical code as the open source sleepfm-clinical repository on […] The post Stanford Researchers Build SleepFM Clinical: A Multimodal Sleep Foundation AI Model for 130+ Disease Prediction appeare

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