AI-Powered app aims to predict Alzheimer's years before symptoms worsen

NCT ID NCT07731191

Recruiting now Knowledge-focused Sponsor: IRCCS Centro San Giovanni di Dio Fatebenefratelli Source: ClinicalTrials.gov ↗

First seen Jul 28, 2026 · Last updated Jul 29, 2026 · Updated 1 time

Summary

This study is testing whether a smartphone app can help predict the risk of developing Alzheimer's disease. Researchers will collect health data like weight, blood pressure, and blood sugar from people with mild cognitive concerns. An artificial intelligence model will analyze these risk factors to see if it can identify who is most likely to develop dementia. The goal is to create a tool that could one day allow for earlier, more personalized care.

What this could mean

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

Active substance: a mobile app for risk monitoring and patient engagement
What this could lead to: If successful, this could lead to a simple, non-invasive way to identify people at high risk for Alzheimer's disease before symptoms worsen.
What could go wrong: This is an early-stage study focused on building and testing a prediction model, not a treatment. The app's risk assessment may not be accurate enough for real-world use.

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.

Cognitive Dysfunction subjective cognitive decline

As listed by the trial registrant

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

MILD COGNITIVE IMPAIRMENT (MCI) SUBJECTIVE COGNITIVE DECLINE (SCD)

Contacts and locations

Locations

ASST Spedali Civili di Brescia
RECRUITING

Brescia, BS, 25123, Italy
IRCCS Istituto Centro San Giovanni Di Dio - Fatebenefratelli
RECRUITING

Brescia, BS, 25125, Italy

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