| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5623829 | Alzheimer's & Dementia | 2016 | 9 Pages |
Abstract
Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational crowdsourced project to benchmark the current state-of-the-art in predicting cognitive outcomes in Alzheimer's disease based on high dimensional, publicly available genetic and structural imaging data. This meta-analysis failed to identify a meaningful predictor developed from either data modality, suggesting that alternate approaches should be considered for prediction of cognitive performance.
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Authors
Genevera I. Allen, Nicola Amoroso, Catalina Anghel, Venkat Balagurusamy, Christopher J. Bare, Derek Beaton, Roberto Bellotti, David A. Bennett, Kevin L. Boehme, Paul C. Boutros, Laura Caberlotto, Cristian Caloian, Frederick Campbell, Elias Chaibub Neto,