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.
Keywords: Azheimer's disease; Big data; Bioinformatics; Biomarkers; Cognitive decline; Crowdsource; Genetics; Imaging.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.