Cardiovascular disease remains a leading global health burden, yet many preclinical systems still struggle to predict how candidate drugs will perform in the human heart.

Modern cardiovascular care involves human acumen, complex data and collaborative intelligence between the two. Payment models are based on well-defined tests and procedures and are baffled by the ...

UBC Okanagan researchers, working with scientists at BC Cancer–Kelowna, have developed a groundbreaking AI model that can ...

Deep within the heart’s right atrium lies the sinoatrial node, a tiny cluster of ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally, posing a particularly significant threat to people with HIV (PWH). To address this, CVD prevention plans rely on ...

Liz covers cardiovascular and metabolic disease, asking why we’re not doing better or even losing ground against the world’s leading killer. Send tips on Signal at LizC.22. Just over a year ago the ...

Cardiovascular growth at scale requires coordinating remote monitoring workflows across subspecialties to improve data integration and patient care.