In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Chronic kidney disease (CKD) constitutes a major global health challenge, affecting millions and often remaining undiagnosed until advanced stages. Recent advances in machine learning have ...

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 ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

A new machine learning model can predict the eventual occurrence of dementia, according to a new study. Its authors say the model is greater than 80% accurate and can predict disease up to nine years ...

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...