Age, gender, and lifestyle are key factors in predicting risks for illnesses like cancer and heart disease, but adding race ...

The usefulness of the new model is not limited to epidemics: It can be used in different systems – anywhere objects spread across a network. In future, the researchers want to use it to simulate the ...

A new mathematical model developed by Swiss researchers aims to improve the prediction of epidemics in the future. In the new ...

U.S. sociologist Scott Feld wrote, "Your friends have more friends than you do." Feld's so-called friendship paradox states ...

A new predictive model developed by Ochsner Health helps clinicians make real-time decisions for patients who had a stroke ...

A new artificial intelligence model developed by Stanford Medicine combines clinical notes and pathology images to predict ...

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

NEW equations, named AROSE, have been developed to better predict the 10-year risk of atherosclerotic cardiovascular disease ...

LG AI Research will collaborate with a Seoul National University (SNU) professor team to develop an artificial intelligence ...

Inclusion of measures of depression and anxiety to the American Heart Association Predicting Risk of Cardiovascular Disease Events (PREVENT) prediction model has little additional impact on risk ...

EULAR/ACR SLE classification criteria were not linked to mortality or hospitalization, a developed ominosity model adequately predicted mortality.