Streamlining Recruitment for AD Clinical Trials: Concurrent Detection of Cognitive Impairment and Amyloid‐Beta PET Status with a Machine Learning‐Enabled Digital Cognitive Assessment

The 3-minute DCR was superior to BBMs in detecting cognitive impairment and boosted their Aβ-PET prediction ability to levels comparable to CSF biomarkers of AD. By leveraging AI process metrics, the DCR enables the cost-effective identification of the most suitable participants for novel DMTs and can decrease high screen-failure rates in AD clinical trials.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70861_108911
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Streamlining Recruitment for AD Clinical Trials: Concurrent Detection of Cognitive Impairment and Amyloid‐Beta PET Status with a Machine Learning‐Enabled Digital Cognitive Assessment

Karl M. Thompson, Ali Seyed Jannati, Connor Higgins, John Showalter et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Streamlining Recruitment for AD Clinical Trials: Concurrent Detection of Cognitive Impairment and Amyloid‐Beta PET Status with a Machine Learning‐Enabled Digital Cognitive Assessment

Karl M. Thompson, Ali Seyed Jannati, Connor Higgins, John Showalter, A. Pascual–Leone, Claudio R Toro‐Serey, David Bates, Sean Tobyne
article en

Abstract

The 3-minute DCR was superior to BBMs in detecting cognitive impairment and boosted their Aβ-PET prediction ability to levels comparable to CSF biomarkers of AD. By leveraging AI process metrics, the DCR enables the cost-effective identification of the most suitable participants for novel DMTs and can decrease high screen-failure rates in AD clinical trials.

Alzheimer s & DementiaVol. 21(S7)
Harvard University (US), Hebrew SeniorLife (US)
Quality Education
Openalex Percentile: Top 35%
Dementia and Cognitive Impairment Research
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