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.

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

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

COLUMBIA — University of Missouri researchers are using artificial intelligence to detect melanoma, a dangerous form of skin cancer. Kamal Singh, associate research professor in the College of ...

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 ...

Pancreatic cancer is the 12th most common cancer worldwide. In 2022, there were 510,992 new cases of pancreatic cancer, with China, the US, and Japan reporting the highest number of cases globally.

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 ...

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

When it comes to cancer, waiting for symptoms may soon be old news. Telehealth company Hims & Hers began offering a blood test this week that screens for a wide range of cancers before warning signs ...

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