Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted, severe fibrosis and cirrhosis can be prevented. While liver biopsies, the ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Please provide your email address to receive an email when new articles are posted on . The model predicted a 12.6% average risk for recurrent disease activity among DMT discontinuers. The model’s AUC ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

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 ...