AI could spot Alzheimer's years before symptoms worsen

NCT ID NCT07652931

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

The AHEAD study is testing whether artificial intelligence can help detect early signs of Alzheimer's disease in people who feel their memory is slipping but still test normal. Researchers will use brain scans, eye tests, and blood markers to identify those at highest risk. High-risk participants will receive a 6-month program including brain stimulation, cognitive training, and exercise to potentially slow decline.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

High-frequency Transcranial Magnetic Stimulation (TMS) and digital cognitive training

What this could lead to

If successful, this could lead to a way to identify people at high risk for Alzheimer's early and offer a personalized treatment plan to slow cognitive decline.

What could go wrong

This is an early, single-arm study without a control group, so results may not be definitive. The AI models may not be accurate enough, and the intervention's benefits are uncertain.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

Alzheimer disease Cognitive Dysfunction Motor Activity subjective cognitive decline

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • San Raffaele Neurology Unit

    Milan, Milano, 20132, Italy

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact