A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial ...

New research reveals that widely used heart disease risk calculators often fail to identify a significant proportion of ...

A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...

A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...

Artificial intelligence (AI)-based algorithms that use electrocardiogram (ECG) data have high accuracy in predicting ...

A study finds nearly 80 per cent of Indian patients who suffered their first heart attack were not flagged as high-risk by ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

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

Although the integrated genomic model provided only modest improvements over polygenic risk scores at a population level, its ...

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, ...