A new article published in Nature Medicine has shown how a new AI model can be used to predict future disease risk, including ...
Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.
News-Medical.Net on MSN
AI model can predict a person's disease risk using sleep data
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 ...
Corsera, which emerged in September 2025, aims to extend healthspan by reducing the risk of atherosclerotic cardiovascular ...
ScienceAlert on MSN
A Single Night's Sleep Could Predict Your Risk For More Than 100 Diseases
As detailed in a recently released paper, the SleepFM AI model analyzes a comprehensive suite of physiological recordings to ...
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.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
2don MSN
Financial stress may be as bad for the heart as traditional risk factors for cardiovascular disease
A new study raises questions about how financial stress fits into cardiovascular health. Dr. Leana Wen explains what people can do to protect their hearts.
Haider Warraich was once the only cardiologist for more than 150,000 people in a rural county. Now he’s running an ARPA-H program to use agentic AI to provide universal access to specialty care.
Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...
Wearable health devices such as smartwatches and bands are more than fitness trackers. Many also can monitor your cardiovascular health. Some wearables can highlight problems such as irregular heart ...
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