Sleep Patterns Predict Sleep Apnoea and Cardiovascular Risk
Machine learning analysis found that sleep-stage dynamics can identify sleep-disordered breathing and predict long-term cardiovascular risk, with rare sleep transitions emerging as potential biomarkers.