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.
Original language | English |
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Pages (from-to) | 645-653 |
Number of pages | 9 |
Journal | Alzheimer's and Dementia |
Volume | 12 |
Issue number | 6 |
DOIs | |
State | Published - Jun 1 2016 |
Keywords
- Alzheimer Disease/complications
- Apolipoproteins E/genetics
- Biomarkers
- Cognition Disorders/diagnosis
- Computational Biology
- Databases, Bibliographic/statistics & numerical data
- Humans
- Predictive Value of Tests