In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model ... The proposed approaches use modern technology and feature ...

Scripps Research study combines AI, genomics, and health records to create personalized heart attack risk predictions. ABC ...

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure ... Researchers said the use of AI and machine learning can accelerate our ability ...

A study by scientists shows machine learning models improve prediction of heart disease in women ... improve early detection of disease,”. Using the machine learning models, the scientists ...

Software developed using machine learning can be used to predict someone’s risk of heart disease in less than a minute by analyzing the veins and arteries in their eye. The new research ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

However, their utility in the prediction of proneness to coronary ... level for subjects with coronary heart disease (190 mg. per 100 ml.) and those remaining free from it (174 mg.

who had no prior history of heart disease, using a technique called nuclear magnetic resonance (NMR) spectroscopy. The researchers for this study were Jakub Morze, Giorgio E Melloni, Clemens ...