A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

AI-powered gene maps reveal the hidden control centers driving Alzheimer’s disease — and point to new hope for treatment.

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...

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 ...

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning models analyze images, lab results, and ...

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 ...

By measuring randomness in DNA methylation, researchers identified early-stage cancers with high accuracy. The method ...

Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the ...

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...