Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Researchers at Ann Arbor, Mich.-based University of Michigan have developed an AI model that can detect coronary microvascular dysfunction — a frequently missed and difficult-to-diagnose heart ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. Advancements in multi-omics technologies, most importantly whole-genome ...

Risk assessment plays a central role in the primary prevention of cardiovascular disease. The 2017 High Blood Pressure Clinical Practice Guideline incorporated quantitative risk assessment for the ...

Partial heart transplants for congenital heart disease using donor semilunar valves showed valve growth matching patient development in infants. Transplanted valves functioned well over time, with no ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

New Delhi, July 17 (IANS) A newly developed artificial intelligence (AI) tool, that uses data from the low-cost electrocardiogram (ECG), may be more accurate in identifying hidden heart disease than ...