AI reads your face to keep brain training on track

NCT ID NCT07130669

Recruiting now Disease control Sponsor: Stanford University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests a smart system that uses facial expressions to adjust computerized brain training in real time, aiming to keep older adults engaged and motivated. Researchers will enroll 80 people aged 60-89 with mild cognitive concerns. The goal is to see if this personalized approach improves adherence and cognitive benefits compared to standard training.

What this could mean

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

Active substance: facial expression-based personalization engine (FPE) integrated into computerized cognitive training
What this could lead to: If it works, this could help older adults stick with brain-training exercises at home, potentially slowing cognitive decline.
What could go wrong: This is an early-phase study with only 80 participants, so results may not apply to everyone. The technology may not improve engagement or adherence as hoped.

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.

subjective cognitive decline

As listed by the trial registrant

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

MCI MILD BEHAVIORAL IMPAIRMENT SUBJECTIVE COGNITIVE DECLINE (SCD)

Contacts and locations

Locations

Stanford University CogT Lab
RECRUITING

Palo Alto, California, 94304-0000, United States

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