Researchers from Cambridge University have developed a new method for predicting the progression of Alzheimer’s disease (AD), which promises 80% accuracy.

BrainSee is designed to predict the likelihood of progression from MCI to Alzheimer’s dementia within 5 years, allowing doctors and patients to make informed decisions early.

This new AI Alzheimer’s detection model was trained on the transcribed speech of 166 older adults diagnosed with mild cognitive impairment (MCI), a condition that often precedes Alzheimer’s.

The team used artificial intelligence (AI) to analyze data from electronic health records and large genetic studies of people with autoimmune disease to come up with a risk prediction score.

A single, freely available, noninvasive brain scan done in just a few minutes during midlife can predict what chronic ...

Get Instant Summarized Text (Gist) The plasma biomarker p-tau217, measurable through a blood test, enables early prediction of Alzheimer's disease progression, including in asymptomatic individuals.

AI helps unravel a cause of Alzheimer's disease and identify a therapeutic candidate. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250425113453.htm ...

The causes of Alzheimer’s disease have long puzzled researchers, especially when most older adults show signs of the illness even without carrying the well-known mutations linked to it. In fact ...

Andrieu S, Bateman RJ, Bereczki E, Bose N, Brookes AJ, Doraiswamy PM, Kivipelto M, Kohlhaas S, Kourtis L, Middleton LT, Moore GJ, Petrella JR, Postlethwaite N, Sainz-Fuertes R. Harnessing artificial ...

When the researchers tested NCT-503 in two mouse models of Alzheimer’s disease, they saw that it significantly alleviated Alzheimer’s progression. The treated mice demonstrated substantial ...