Using Artificial Intelligence to Detect Early Signs of Alzheimer's Disease in People With Memory Concerns
AHEAD
AHEAD: AI-driven Brain Health for Early Alzheimer's Disease Detection in Individuals With Subjective Cognitive Decline
1 other identifier
interventional
300
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 8, 2026
CompletedFirst Posted
Study publicly available on registry
June 17, 2026
CompletedStudy Start
First participant enrolled
August 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 1, 2029
June 17, 2026
June 1, 2026
2 years
June 8, 2026
June 11, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy of AI models in identifying AD biomarker-positive SCD subjects (AUC)
Area under the ROC curve (AUC), sensitivity, and specificity of AI models in discriminating between plasma AD biomarker-positive and biomarker-negative SCD subjects, assessed at study entry.
Baseline (study entry)
Secondary Outcomes (1)
Predictive accuracy of AI models for cognitive progression (AUC)
Baseline, 12 months (M12), and 24 months (M24)
Other Outcomes (9)
Change in Preclinical Alzheimer Cognitive Composite (PACC) score
Before and after the 6-month intervention (Baseline to Month 6 , or Month12 to Month 18 for rSCD cohort)
Change in self-perceived quality of life (EQ-5D-3L)
Before and after the 6-month intervention (Baseline to Month 6 , or Month12 to Month 18 for rSCD cohort)
Change in 6-minute walking test distance
Before and after the 6-month intervention (Baseline to Month 6 , or Month12 to Month 18 for rSCD cohort)
- +6 more other outcomes
Study Arms (1)
SCD Participants
EXPERIMENTALAll 300 SCD participants undergo baseline multimodal assessment. Those found to be AD plasma biomarker positive (SCD+) undergo longitudinal follow-up at M12 and M24. Those classified as high risk (plasma p-tau217 greater than 0.1325 pg/mL, and/or APOE epsilon4 carrier, and/or elevated CAIDE Dementia Risk Score) additionally receive a 6-month multidisciplinary personalized intervention combining high-frequency TMS, digital cognitive training, structured physical exercise, and targeted vascular and behavioral risk factor management.
Interventions
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).
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.
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.
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.
Eligibility Criteria
You may qualify if:
- Diagnosis of Subjective Cognitive Decline (SCD) according to international diagnostic criteria (Jessen et al., 2014).
- Self-experienced persistent decline in cognitive capacity in comparison with a previously normal status and unrelated to an acute event.
- Normal age-, gender-, and education-adjusted performance on standardized cognitive tests used to classify mild cognitive impairment (MCI) or prodromal AD.
- Age greater than or equal to 40 years.
- Native Italian Speaker.
- Stable pharmacological treatment for at least 4 weeks prior to enrollment.
- Provision of oral and written informed consent to study participation.
You may not qualify if:
- Presence of MCI, prodromal AD, or dementia.
- Any major systemic, psychiatric, or neurological disturbance.
- Medical conditions or substance abuse that could interfere with cognition.
- Pacemaker and/or other implanted neurostimulation devices in the head/neck district.
- Contraindications to undergoing MRI examination.
- Brain damage at routine MRI, including extensive cerebrovascular disorders.
- Traumatic or surgical wounds that could determine a risk of infection at the site of non-invasive stimulation.
- Scalp alterations that could determine the spread of excessive current from the device.
- Known history of epilepsy (due to small risk of seizure induction from rTMS in epileptic patients).
- Denial of oral and written informed consent to study participation.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
San Raffaele Neurology Unit
Milan, Milano, 20132, Italy
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Massimo Filippi, Prof
IRCCS San Raffaele
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof, MD
Study Record Dates
First Submitted
June 8, 2026
First Posted
June 17, 2026
Study Start
August 1, 2026
Primary Completion (Estimated)
August 1, 2028
Study Completion (Estimated)
August 1, 2029
Last Updated
June 17, 2026
Record last verified: 2026-06