Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means.

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

Researchers say they've trained artificial intelligence models to assess genetic risks for 10 inherited diseases on a spectrum rather than simply "yes/no." ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...