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 ...

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.

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Software developed using machine learning can be used to predict someone’s risk of heart disease in less than ... The software works by analyzing the web of blood vessels contained within ...

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 ...

If they were better understood, “we could address them and work to modify them,” she said. The heart-risk assessment ... who wrote a paper about the use of race in myriad medical decision ...