A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.

Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken ...

And their method could even be used to find new genetic markers of heart disease that existing approaches that look at individual data modalities might miss.

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease Use of high-speed video microscopy and artificial intelligence provides calculated ...

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that's characterized by mild symptoms or ...

To improve prediction accuracy, the research team developed a new method, dubbed Genetic Progression Score or GPS, to foretell the progression from preclinical to disease stages.

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.