Cross-Trial Knowledge Transfer in Alzheimer’s Disease: A Machine Learning Approach Using the EXPEDITION Trials (S15.003)

To develop methods for enriching Alzheimer’s disease (AD) treatment trials with individuals likely to show clinically meaningful cognitive decline (CMCD) if treated with placebo.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000208728
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Cross-Trial Knowledge Transfer in Alzheimer’s Disease: A Machine Learning Approach Using the EXPEDITION Trials (S15.003)

Richard B. Lipton, Ali Ezzati, Bhargav Teja Nallapu, Babak Khorsand et al.
Neurology
Artificial Intelligence in Healthcare
article

Cross-Trial Knowledge Transfer in Alzheimer’s Disease: A Machine Learning Approach Using the EXPEDITION Trials (S15.003)

Richard B. Lipton, Ali Ezzati, Bhargav Teja Nallapu, Babak Khorsand, Elham Ghanbarian
article en

Abstract

To develop methods for enriching Alzheimer’s disease (AD) treatment trials with individuals likely to show clinically meaningful cognitive decline (CMCD) if treated with placebo.

NeurologyVol. 104(7_Supplement_1)
Albert Einstein College of Medicine (US), University of California, Irvine (US)
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare
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