A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular diseases by capturing near-real-time biological changes.

A risk model predicts the risk for heart failure in patients with atherosclerotic cardiovascular disease and flags a notable ...

A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone.

A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted, called cardiac resynchronization therapy (CRT).

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

Researchers confirmed a four-biomarker model is more informative at younger vs older ages, with slight sex differences.

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 made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted, called cardiac resynchronization therapy (CRT). In a clinical trial, ...

Cardioneurology is an interdisciplinary field that explores the intricate connections between the brain and the cardiovascular system, with the aim of ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...