A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...

Transcriptomic assays such as the PAM50-based ROR-P score guide recurrence risk stratification in non-metastatic, ER-positive, HER2-negative breast cancer but are not universally accessible.

This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal ...

Share on Pinterest Using routine scans, AI could measure heart fat to help better predict cardiovascular disease risk. Image credit: Santi Nuñez/Stocksy A new study suggests that AI can measure heart ...