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

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

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 ...

St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next-generation classification of pediatric brain tumors by liquid biopsy.

A brain tumor known for rapid progression and limited survival has researchers in Hampton Roads working to sharpen how doctors detect it and respond. Old Dominion University professor Dr. Khan ...

The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.

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

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 ...

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

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).

Abstract: Classifying and detecting brain tumors in medical imaging remains a major hurdle in the field of medical diagnostics. This Paper aims to present a hybrid machine learning approach ...

An inexpensive mix of two everyday supplements helped to fight the deadliest brain cancers without a single reported side effect, according to a new study — but researchers say the approach is still ...