Written by Lauren Munton, CPO, Co-Founder

In the rapidly advancing world of SleepTech, a major new study is shining a spotlight on just how much our sleep reveals about future health. Published on January 6, 2026, in Nature Medicine, researchers from Stanford Medicine and international collaborators developed an AI model called SleepFM that analyzes polysomnography (PSG) data from a single night's sleep to predict risks for over 130 diseases—with impressive accuracy.

This isn't just about diagnosing sleep disorders like apnea. The model excels at forecasting serious conditions years in advance, including neurological and mental health issues such as dementia, Parkinson’s disease, mild cognitive impairment, and other brain-related disorders. Brain activity signals (like EEG/brainwaves) proved especially powerful for these neurological predictions, while heart and respiratory data shone for circulatory and metabolic risks.

Key highlights from the study:

• Trained on vast datasets from over 65,000 people, SleepFM achieved up to 85% accuracy in predicting mortality risk and strong performance (C-index >0.8) for conditions like dementia, Parkinson’s, heart attack, stroke, and certain cancers.

• It highlights how subtle mismatches in brain, heart, and breathing patterns during sleep act as early warning signs—often long before symptoms appear.

• This builds on growing evidence that sleep disturbances precede many neurodegenerative diseases, making non-invasive monitoring a game-changer for preventive care.

At Nuream, we're excited by these findings because they validate the immense potential of everyday sleep signals—especially brainwaves—for actionable neurohealth intelligence. Our clinically grounded, AI-driven platform uses innovative, fabric-embedded sensing to capture brainwave data comfortably during sleep (no bulky lab equipment required). By converting these everyday physiological signals into precise insights, we help improve restorative sleep today while enabling earlier detection of neurological risks and more personalized care for individuals, clinicians, enterprises, and payers.

This research underscores a shift toward viewing sleep not just as rest, but as a vital window into long-term brain and overall health. As SleepTech continues to evolve—with innovations like non-invasive EEG modulation and AI-powered predictions at CES 2026 and beyond—tools that make high-quality brainwave monitoring accessible and seamless will play a central role.

The era of proactive neurohealth is here. Sleep isn't passive—it's predictive. We're proud to be at the forefront, turning those nightly brain signals into empowerment for better health tomorrow.