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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 publication

DOI

10.1016/j.jalz.2016.02.006

Type

Journal article

Journal

Alzheimers Dement

Publication Date

06/2016

Volume

12

Pages

645 - 653

Keywords

Azheimer's disease, Big data, Bioinformatics, Biomarkers, Cognitive decline, Crowdsource, Genetics, Imaging