The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

For the last three years, the world has obsessed over generative AI that can write and create. By the end of 2026, we'll see ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence to transform how ...

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...