The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000.

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...