Researchers at Boston University Chobanian & Avedisian School of Medicine have built an artificial intelligence (AI) tool that can accurately predict key signs of Alzheimer's disease—such as the ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like Huntington's, Alzheimer's and Parkinson's.

This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive accuracy in genetic epidemiology.

The eye movement pattern that predicts Alzheimer’s early appears during the preclinical phase when brain changes are occurring but haven’t yet affected daily functioning.

"Being able to noninvasively observe a new early marker of Alzheimer's disease progression in the brain for the first time is a very exciting step." The findings were published in Imaging ...

Using a custom-built tool to analyze the electrical activity from neurons, researchers at Brown University have identified a brain-based biomarker that could be used to predict whether mild ...