Uncovering connection between sleep characteristics, future disease risk

A novel risk model may be capable of predicting future disease and mortality using data from a single night of sleep.

In a study published in Nature Medicine, researchers used more than 585,000 hours of polysomnography recordings from a group of over 65,000 participants to develop a multimodal sleep foundation model known as SleepFM.

The researchers found that SleepFM needed to capture the physiologic and temporal structure of just a single night of sleep to accurately predict the risk of dementia, chronic kidney disease, atrial fibrillation, myocardial infarction, stroke, heart failure, all-cause mortality and about 120 other conditions.

The researchers highlighted that the results of the study demonstrated the scalability of the model for disease prediction and that SleepFM could provide noninvasive health monitoring in real time.

Read more: Nature Medicine

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