Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

For patients with acute coronary syndrome (ACS) and cancer, the ONCO-ACS score predicts mortality, bleeding, and ischemic risk.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations, but it has been difficult to discern whether they play an active role in ...

The ‘MYCN’ gene creates a specific nook that turns healthy liver cells into cancer. Detecting MYCN gene early could help identify and reduce liver cancer risk.

A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...

Machine learning and other forms of artificial intelligence have already been repeatedly proven to deliver faster, more consistent diagnoses than human physicians, but they may increase overdiagnosis ...