Clinical trial Recruiting at 2 sites Interventional Ages 18 and up

Digital tools to predict Alzheimer's biology from risk factors

Official title: Development of Digital Solutions for the Prediction of the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors (PrevAI)

Run by IRCCS Centro San Giovanni di Dio Fatebenefratelli · NCT07731191 · Data updated 2026-11-12

This study tests a digital, AI-based tool that analyzes modifiable and non-modifiable risk factors to see if it can predict biological changes linked to Alzheimer's disease in adults with MCI or SCD.

Quick facts

Study typeInterventional
Ages18 Years and up
SexAll
Enrollment240 (estimated)
SponsorIRCCS Centro San Giovanni di Dio Fatebenefratelli
Academic / other
Locations2 sites (Brescia, BS and 1 other locations)
StatusRecruiting
StartedJune 24, 2026
Main results expectedNovember 15, 2026
Study endsNovember 15, 2026
Registry record updatedJuly 28, 2026
Trial IDNCT07731191 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 and older with MCI or SCD, who use smartphones and have MMSE ≥ 24 at baseline.

Probably not a fit

Individuals without MCI or SCD, or those with established dementia at baseline, may not benefit from this tool.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Researchers will develop and test a machine learning model using risk-factor data and non-invasive plasma biomarkers to predict the biological mechanisms of Alzheimer's disease and other dementias. The project focuses on people with mild cognitive impairment or subjective cognitive decline, who are not yet diagnosed with dementia. The approach relies on digital health methods and smartphone-enabled data collection to identify patterns associated with disease biology. By linking risk profiles to biomarker signals, the study aims to create a predictive tool that could inform early interventions. The study is exploratory and will inform future validation in diverse populations.

Why it matters

Potential benefit: If successful, the tool could help identify individuals at higher risk of Alzheimer's-related changes early, enabling targeted monitoring or interventions.

How similar studies have gone: While digital and biomarker-based approaches have shown promise in other dementia studies, this exact predictive tool is exploratory and builds on early signals rather than proven results.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Male or female subjects aged more than 18 years at the time of signing the informed consent form;
* Subjects with MCI or SCD who, at the time of their first visit, did not have a clinical diagnosis of dementia (MMSE ≥ 24);
* Smartphone user.

Exclusion Criteria:

* Age younger than that stated in the inclusion criterion;
* Inability to understand.

Where it's running

  • ASST Spedali Civili di Brescia
    Brescia, Bs, Italy
    Recruiting
  • IRCCS Istituto Centro San Giovanni Di Dio - Fatebenefratelli
    Brescia, Bs, Italy
    Recruiting

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.