Optimizing Alzheimer’s Disease Clinical Trials with Predictive Models of Cognitive Decline

Our results demonstrate that predictive models have the potential to optimize AD trial design by selecting participants expected to decline if treated with placebo and refining the analyses of treatment effects with prognostic adjustments.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70859_098567
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Alzheimer’s Disease Clinical Trials with Predictive Models of Cognitive Decline

Tianchen Qian, Bhargav Teja Nallapu, Ali Ezzati, Richard B. Lipton
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Optimizing Alzheimer’s Disease Clinical Trials with Predictive Models of Cognitive Decline

Tianchen Qian, Bhargav Teja Nallapu, Ali Ezzati, Richard B. Lipton
article en

Abstract

Our results demonstrate that predictive models have the potential to optimize AD trial design by selecting participants expected to decline if treated with placebo and refining the analyses of treatment effects with prognostic adjustments.

Alzheimer s & DementiaVol. 21(S5)
Albert Einstein College of Medicine (US), University of California, Irvine (US), Delft University of Technology (NL)
Openalex Percentile: Top 34%
Dementia and Cognitive Impairment Research
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