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Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

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 ei...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jalz.2016.02.006

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
Publisher:
Elsevier
Journal:
Alzheimer's & Dementia More from this journal
Volume:
12
Issue:
6
Pages:
645-653
Publication date:
2016-04-11
DOI:
EISSN:
1552-5279
ISSN:
1552-5260
Pmid:
27079753
Language:
English
Keywords:
Pubs id:
pubs:616695
UUID:
uuid:22351104-8cc2-424b-bf56-4fb9db6362a3
Local pid:
pubs:616695
Source identifiers:
616695
Deposit date:
2017-07-24

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