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Cardiology news

Age does not appear to drive cardiovascular risk in pregnancy

Underlying cardiovascular risk, rather than older age, drives complications such as venous thromboembolism, cardiomyopathy and heart failure during pregnancy, according to new Weill Cornell Medicine research. The findings ...

AI-powered CPR coach outperforms 911 dispatchers in guiding bystander resuscitation

A new study from scientists at the University of California San Diego in collaboration with the University of Pittsburgh School of Medicine, Johns Hopkins University, and other institutions, demonstrates that an artificial ...

AI coach rewrites the rules of cardiovascular research

Every day, millions of Americans open a fitness app, glance at their step count, and may even feel a mild pang of guilt before closing it again. The problem with most health tracking technology is that it watches your activity, ...

Heart disease risk may start in the womb

A child's future heart health may be partially shaped before they are born, reports a new Northwestern Medicine study that found pregnancy complications are linked to poorer cardiovascular health in offspring more than 20 ...

Genetic research could help patients avoid amputations

Physicians may one day be able to identify which patients with peripheral artery disease are most likely to develop complications and intervene earlier, thanks to a Northeastern University discovery. Peripheral artery disease ...

Peppermint oil can lower blood pressure, clinical trial finds

Daily doses of peppermint oil have been proved to lower blood pressure for patients with mildly high readings, new research has found. A team of University of Lancashire academics discovered a daily intake of 100 microliters ...

Blood pressure drug can reduce arterial stiffening

Obesity is closely intertwined with high blood pressure and diabetes, often putting patients at greater risk for either of these health conditions. It's also associated with arterial stiffening—when the walls of the artery ...

AI models comb patient data to predict cardiac arrest risk

Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated risk for sudden cardiac ...