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.

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

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Add Yahoo as a preferred source to see more of our stories on Google. BrainIAC, a new AI model, analyzes brain MRIs to predict dementia risk, tumor mutations, and brain cancer survival. (CREDIT: ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...

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

Dave Coulier credited early cancer detection with saving his life – twice. The "Full House" star told Fox News Digital how routine medical visits helped doctors catch a second cancer early, a moment ...

Becca Valle didn't understand why she kept having aching headaches. She was happy at a new job. She was living with her boyfriend and happy to be near her family. She had recently checked a major item ...