Using Artificial Intelligence to Detect Early Signs of Alzheimer's Disease in People With Memory Concerns

NCT07652931 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2026-06-17

No results posted yet for this study

Summary

AHEAD is a prospective, longitudinal, risk-stratified single-arm interventional study enrolling 300 patients with Subjective Cognitive Decline (SCD) at IRCCS San Raffaele Hospital, Milan, Italy.

The study uses artificial intelligence (AI) to integrate multimodal data - including MRI, EEG, Optical Coherence Tomography (OCT), neuropsychological assessments, and plasma biomarkers - to identify individuals with underlying Alzheimer's disease (AD) biology and predict cognitive progression.

Only participants found to be AD plasma biomarker positive (SCD+) undergo longitudinal follow-up at 12 and 24 months. Participants classified as high risk additionally receive a 6-month personalized multidisciplinary intervention combining high-frequency transcranial magnetic stimulation (TMS), digital cognitive training, structured physical exercise, and targeted management of modifiable vascular and behavioral risk factors.

Conditions

Interventions

DEVICE

High-frequency Transcranial Magnetic Stimulation (TMS)

High-frequency repetitive TMS (rTMS) delivered according to an intensive protocol during the first 4 weeks of the intervention period (2-3 sessions per week). Applied to brain regions associated with cognitive function to optimize brain health and reduce risk of cognitive decline. Administered by trained professionals following international safety guidelines (Rossi et al., 2009).

BEHAVIORAL

Digital Cognitive Training

Home-based cognitive training delivered via digital platform over 5 months: 2 sessions per week of 30 minutes each. Targets perceived cognitive deficits and related domains (memory, executive functions, attention, visuospatial abilities, language) with progressive adaptation to individual performance level. Compliance monitored via dedicated applications and/or activity diaries. Monthly remote meetings with neuropsychologists to monitor progress.

BEHAVIORAL

Structured Physical Exercise

Home-based structured physical exercise program over 5 months: 2 sessions per week of 30 minutes each. Activities include walking, cycling, and global resistance training. An in-person familiarization session is conducted before program start. Monthly remote meetings with physiotherapists to monitor progress and adapt the program. Compliance remotely monitored via dedicated applications and/or activity diaries.

OTHER

Management of Modifiable Vascular and Behavioral Risk Factors

Personalized pharmacological and non-pharmacological interventions targeting modifiable vascular and behavioral risk factors including blood pressure, cholesterol, BMI, physical inactivity, dietary habits, sleep quality, and social isolation. Monthly remote follow-up visits over 6 months to monitor treatment adherence and optimize risk factor control.

Sponsors & Collaborators

  • IRCCS San Raffaele

    lead OTHER

Principal Investigators

  • Massimo Filippi, Prof · IRCCS San Raffaele

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-01
Primary Completion
2028-08-01
Completion
2029-08-01

Countries

  • Italy

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07652931 on ClinicalTrials.gov