Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials

Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials

Abstract Background The ideal participants for Alzheimer's disease (AD) clinical trials would show cognitive decline in the absence of treatment (i.e., placebo arm) and would also respond to the therapeutic intervention. Objective To investigate if predictive models can be an effective tool for...

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Bibliographic Details
Main Authors: Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Subjects:
Alzheimer's disease
anti‐amyloid monoclonal antibody
clinical trials
cognitive decline
machine learning
predictive analytics
Online Access:https://doi.org/10.1002/trc2.12223

Internet

https://doi.org/10.1002/trc2.12223

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