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- ARTIFICIAL INTELLIGENCE

AI-calculated brain age predicts dementia risk years before doctors can see it

Memory clinics still rely on visual rating scales to assess brain atrophy, yet these tools lack the sensitivity to catch subtle changes associated with early dementia. A measure of how old a person’s brain appears on brain scans compared with their actual age might be a potential predictor of who is more likely to develop dementia over the years, reports a new study published in Neurology.

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AI reveals distinct cell defects inside breast cancer

Researchers at the University of Southampton have developed a powerful AI tool that reveals previously invisible patterns inside breast cancers. It uncovers how tiny cellular structures called centrosomes change as tumors grow, spread and evolve. The technology could help clinicians identify high-risk patients, predict how breast cancer might progress and deliver more targeted treatments.

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AI framework decodes how brain regions talk to one another

For decades, neuroscientists have been able to record which parts of the brain show increased electrical activity during a behavior, such as when we form a memory or make a decision. But scientists haven’t been able to determine how those regions are communicating with and influencing one another, nor identify which regions serve as the main orchestrators.

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AI model maps tumor tissue to improve cancer care

A tumor is more than its cancer cells. Immune cells, blood vessels and other surrounding tissue influence how a cancer grows and responds to treatment. Two tumors containing the same cell types can respond very differently to the same therapy depending on how those cells are arranged. Spatial proteomics captures this organization in molecular detail, but the resulting data, which contain many different variables, are difficult to interpret and compare across studies.

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