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A Physiology-Informed Deep Learning Approach for Sleep-EEG Brain Age Estimation.
IEEE journal of biomedical and health informatics·October 27, 2026·PMID 42945059
Why it mattersSleep EEG is a rich, non-invasive source of brain aging biomarkers, but standard deep learning models are often black boxes. This approach yields explicit spectral and sleep-stage features that align with known neurophysiology, enabling clinicians to interpret brain age estimates and potentially use them for risk stratification in aging and longevity contexts.
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