MambaSleepCVD uses polysomnography to predict long-term cardiovascular outcomes

This study explores the prognostic value of full-night polysomnography (PSG) data for predicting long-term cardiovascular disease risk, controlling for demographic confounders. It introduces a modular framework called Coupled Mamba that integrates specialized unimodal and multimodal representations to capture physiological interactions during sleep, aiming to improve cardiovascular outcome predictions.

Originally published by gnews