Prediction of Amyloid‐Beta PET Status with a Combination of Digital Clock and Recall, Digital Trail Making Test‐Part B, and Blood‐Based Biomarkers
A multimodal model based on DCR, dTMT-B, ±APOE, and various BBMs had excellent performance in predicting Aβ-PET status, at levels comparable to CSF biomarkers of AD. ML-enabled digital cognitive assessments that leverage process-based metrics, such as the DCR and dTMT-B, enable cost-effective integration into clinical workflows to identify patients who are most likely to have Aβ+ PET status, allowing for prioritizing the most suitable candidates for DMTs.
Authors
- Karl M. Thompson (ORCID: https://orcid.org/0000-0001-6182-9507)
- Ali Seyed Jannati
- Connor Higgins
- Claudio R Toro‐Serey
- David Bates
- Sean Tobyne
- Alvaro Pascual‐Leone
Institutions
- Harvard University (US)
- Hebrew SeniorLife (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_107699
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00