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 ...

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

When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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 ...

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

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

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

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

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

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 ...