Sleep Foundation Model Predicts Future Diseases From One Night of PSG Data
17 hours ago 高效码农SleepFM: A 585,000-Hour Foundation Model That Turns One Night of Sleep Into a Disease Crystal Ball Can a single night of polysomnography (PSG) forecast dozens of future diseases without any expert labels? Yes. SleepFM self-trains on 65 000 unlabeled recordings and beats strong supervised baselines on 1 041 phenotypes, reaching 0.84 C-Index for all-cause mortality and 0.87 for dementia. What exact problem does SleepFM solve? Core question: “Why can’t current sleep-AI generalize to new hospitals or predict non-sleep diseases?” Traditional models need (i) costly manual labels, (ii) fixed electrode montages, and (iii) a fresh training run for every new task. …
WATCH-SS: How Your Speech Patterns Could Revolutionize Early Cognitive Impairment Detection
4 months ago 高效码农WATCH-SS: A Trustworthy Approach to Cognitive Health Monitoring Through Speech Analysis In today’s healthcare landscape, early detection of cognitive impairment remains one of the most critical challenges we face. Traditional assessment methods often require in-person evaluations by specialists, creating barriers to widespread screening and timely intervention. What if there was a more accessible way to monitor cognitive health? Enter WATCH-SS—a promising new framework that could revolutionize how we approach cognitive screening. Understanding WATCH-SS: More Than Just Another AI Tool WATCH-SS stands for “Warning Assessment and Alerting Tool for Cognitive Health from Spontaneous Speech.” This isn’t just another artificial intelligence application; …