AI and a simple blood test could spot Alzheimer's years early
NCT ID NCT07402161
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is looking for better, cheaper ways to detect Alzheimer's disease early. Researchers will collect blood samples, brain wave recordings, and speech recordings from 250 people who have noticed memory problems but still function normally. They will use machine learning to combine all this data and see if it can predict who will develop Alzheimer's. The goal is to create a simple screening tool that could be used in regular doctor visits, avoiding expensive and invasive tests.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a simple, low-cost way to identify people at high risk for Alzheimer's years before symptoms worsen, allowing earlier access to new treatments.
- What could go wrong
- This is an observational study, not a treatment trial. The machine-learning model may not prove accurate enough for widespread use, and results may not apply to all populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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IRCCS Policlinico San Donato
RECRUITINGSan Donato Milanese, Milan, 20097, Italy
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Other studies related to the condition(s) this trial covers.
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