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As people age, their brains do, too. But if a brain ages prematurely, there is potential for age-related diseases such as mild cognitive impairment, dementia, or Parkinson’s disease. If “brain age” could be easily calculated, then premature brain aging could be addressed before serious health problems occur.

Researchers from Drexel University’s Creativity Research Lab have developed an artificial intelligence technique that can effectively estimate an individual’s brain age based on electroencephalogram (EEG) brain scans. The technology could help to make early, regular screening for degenerative brain diseases more accessible. The work is published in the journal Frontiers in Neuroergonomics.

Led by John Kounios, Ph.D., professor in Drexel’s College of Arts and Sciences and Creativity Research Lab director, the research team used a type of artificial intelligence called machine learning to estimate an individual’s brain age similar to the way one might guess another person’s age based on their physical appearance.

From Microsoft MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

From Microsoft.

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals.


Join the discussion on this paper page.

With over 100 active wildfires burning in Canada, wildfire smoke has drifted across the border into the United States, prompting Minnesota officials to issue the state’s first air quality alert of 2024.

At least 37 of the 141 active fires burning in Canadian wildfires have been labeled “out of control,” including one that started on Friday in British Columbia and has since spread to 4,200 acres, forcing the evacuation of the small town of Fort Nelson, and the Fort Nelson Indian Reserve, officials said.

Most of the active wildfires, at least 90, are in British Columbia and Alberta provinces.