A new study suggests that AI can analyze routine coronary artery calcium (CAC) scans to measure pericardial fat and ...

A growing body of research shows that diabetes can be stratified into five different subgroups. Researchers at Lund ...

The study shows that disease severity and poor prognosis in ATTR-CM are associated with elevated levels of mid-regional ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

AI can predict a patient’s chance of getting heart disease five years before it develops - A new AI tool from the University of Oxford has an accuracy rate of 86 per cent with doctors hailing it as a ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

A European study reveals cardiovascular risk patterns in type 1 diabetes, highlighting the need for tailored prevention strategies to catch complications early.

Oxford University researchers hope their tool will be rolled out across the NHS.

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...