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 ...

Scientists from Google and its health-tech subsidiary Verily have discovered a new way to assess a person’s risk of heart disease using machine learning ... then be used to predict their ...

Now, researchers have trained multiple machine learning models using a large, population-based dataset to identify five subtypes of heart ... how the disease progresses is hard to predict for ...

The National Heart Center Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of ...

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.

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 ...

Bayer strengthens ties with Huma, collaborating on AI to classify lung cancer types The screening tool is powered by an algorithm that Huma developed using ... to predict heart disease risk ...