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

Dr. Khan Iftekharuddin received a $2.3 million National Institutes of Health grant to develop AI that detects glioblastoma earlier and tracks recurrence.

Share on Pinterest A new AI tool may help predict disease risk using brain MRI datasets. Image credit: Tunvarat Pruksachat/Getty Images The wellness of the brain plays an important role in living a ...

Discover how innovative start-ups are revolutionising patient care in Singapore, from stroke recovery to early cancer ...

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

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.

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & Public Health have created the most detailed maps to date showing how genes ...

Scientists have created the most detailed maps yet of how genes control one another inside the brains of people with Alzheimer’s disease. Using a powerful new AI-based system called SIGNET, the team ...