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

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, ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for ...

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...

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 ...

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) ...

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.

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 ...