A risk model predicts the risk for heart failure in patients with atherosclerotic cardiovascular disease and flags a notable ...
Researchers used five prospective cohorts from the US and China to identify circulating gut microbiota-related metabolites ...
Morning Overview on MSN
AI model flags advanced heart failure earlier using routine ultrasound data
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global ...
A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone.
Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...
A multimodal artificial intelligence (AI) model can identify patients at risk of intimate partner violence (IPV) years before ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
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