Sleep-stage dynamics predict current sleep-disordered breathing and future cardiovascular risk
Researchers have developed a machine learning model that uses sleep-stage dynamics to predict sleep-disordered breathing and long-term cardiovascular risk. The study suggests that sleep patterns contain prognostic information comparable to traditional clinical risk scores.
Why it matters
This research offers a non-invasive, data-driven method for early cardiovascular risk assessment using existing sleep study data.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in