Genetic testing, AI and PET deserts: 5 cardiology study updates

As cardiology research continues to expand, more institutions are studying ways to improve patient care and outcomes. 

Here are five of the latest findings in cardiology:

  • Machine-learning models can be used to strengthen the American Heart Association's cardiovascular disease risk equations, according to a study published Sept. 18 in JAMA Cardiology.

  • Somerville, Mass.-based Mass General Brigham researchers say genetic testing can be used to identify an individual's stress-related heart attack risk, according to a study presented at the American College of Cardiology's annual meeting. 

  • Mammography can be used to identify a key indicator for heart disease in women, according to a study presented at the Menopause Society's annual meeting. 

  • When combined, remote monitoring and pharmacist support improved blood pressure in 74% of patients whose blood pressure was previously resistant to treatment, according to a study presented at the American Heart Association's 2024 Hypertension Scientific Session. 

  • Approximately 44.2 million people in the U.S. live more than 60 miles away from the nearest cardiac positron emission tomography center, according to a study published Aug. 28 in JACC: Cardiovascular Imaging.

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