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

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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 ...

A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...

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 ...

The technique is called CLASSIC — an acronym for “combining long- and short-range sequencing to investigate genetic ...

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 ...

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 ...