L. Fiorillo

Foundation Models in Sleep Research: Opportunities and Limitations.

STUDY OBJECTIVES Foundation Models (FMs) for sleep are large-scale, self-supervised models pretrained on extensive datasets and adapted for various downstream tasks. This Commentary assesses the current state of sleep FMs, emphasizing their benefits while also critically examining whether they are ready for clinical us...

Leveraging large-scale pretrained sleep models via multi-modal fusion for early prediction of cognitive impairment

MambaSleepCVD for prediction of long term cardiovascular outcomes from polysomnography

Long-term cardiovascular disease (CVD) risk prediction remains a major global clinical priority. This study investigates how much prognostic information full-night polysomnography (PSG) carries after explicitly controlling demographic confounding, and whether combining specialized unimodal representations with continuo...