New study: Predicting subsequent diseases from sleep data using an AI model
The study shows that an AI model can predict the risk of more than 130 diseases based on just one night of sleep data, including dementia, heart attack, and stroke. The basis is extensive measurements of various body signals such as brain activity, breathing, and heart rhythm.
The results underscore how closely sleep and health are linked and the potential of systematically analyzing sleep data.
Innsbruck Sleep Summit 2026
The Innsbruck Sleep Summit 2026 brings together international experts to explore current developments in sleep medicine from an interdisciplinary perspective.
Keynotes by Claudio Bassetti, Diego Golombek, and Carlos Schenck provide insights into neurology, chronobiology, and REM sleep research.
The focus is on interdisciplinary exchange and new impulses for the future of sleep medicine.
Prof. Dr. Björn Rasch interviewed on Late Night Zürich
Björn Rasch (Chairman of Netzwerk Schlaf) discusses in an interview how stress, rumination, and everyday habits affect our sleep. He explains why good sleep is not purely a matter of willpower, dispels common sleep myths, and uses scientific findings to show which strategies and routines really help to sleep better in the long term.
Sleep, breathing, and mental health: Key findings from Palagini et al. (2025)
The study shows that sleep-related breathing disorders are closely linked to insomnia, emotional dysregulation, and increased stress. Disturbed breathing during sleep acts not only as a physical risk factor but also as a psychological one, which can exacerbate anxiety, depression, and daytime fatigue. An integrative treatment approach that considers sleep, breathing, and psychological processes together is crucial to reduce long-term health consequences.