A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a simple blood sample to detect pancreatic cancer at its earliest stages—when ...

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

NEW YORK, Feb. 11, 2026 /PRNewswire/ -- A molecule that helps regulate gene activity has also been shown to drive skin cancer growth and tumors' ability to evade attack by the body's immune system, a ...

A breakthrough personalized mRNA cancer vaccine that trains the immune system to target patients' unique tumor mutations is showing promising results. Five-year trial data show the risk of recurrence ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of ...