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

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 ...

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

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 ...

In general, it establishes one’s overal risk of heart disease. These tools include ... according to the journal. Using machine-learning, Dr. Williams’ team analysed 5,000 proteins in blood ...

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.

A new approach to a routine blood test could predict a person’s 30-year risk of heart disease ... patients’ risk for cardiovascular disease by using a blood test to look at cholesterol ...