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Examining how the first race-specific heart failure drug works, its clinical impact, and the ethical questions it raises about using race in medicine.

The impact of accurate diagnosis of heart failure in adult patients influenced intraoperative practice patterns and postoperative outcomes

Machine learning model predicts high-risk diabetic cardiomyopathy, revealing potential for targeted prevention

New research from Uppsala university raises concerns about routine use of beta blockers in patients with normal heart function

A recent study by Case Western Reserve University used national data from U.S. military veterans to predict the risk of heart failure in diabetic patients.

UCLA Health researchers say findings may have implications for heart failure treatment