Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Research from the University of Warwick suggests that many AI systems may be using visual shortcuts rather than true biology, ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

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 ...

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 ...