Article (Scientific journals)
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
Küffner, Robert; Zach, Neta; Norel, Raquel et al.
2015In Nature Biotechnology, 33 (1), p. 51-57
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Abstract :
[en] Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with substantial heterogeneity in its clinical presentation. This makes diagnosis and effective treatment difficult, so better tools for estimating disease progression are needed. Here, we report results from the DREAM-Phil Bowen ALS Prediction Prize4Life challenge. In this crowdsourcing competition, competitors developed algorithms for the prediction of disease progression of 1,822 ALS patients from standardized, anonymized phase 2/3 clinical trials. The two best algorithms outperformed a method designed by the challenge organizers as well as predictions by ALS clinicians. We estimate that using both winning algorithms in future trial designs could reduce the required number of patients by at least 20%. The DREAM-Phil Bowen ALS Prediction Prize4Life challenge also identified several potential nonstandard predictors of disease progression including uric acid, creatinine and surprisingly, blood pressure, shedding light on ALS pathobiology. This analysis reveals the potential of a crowdsourcing competition that uses clinical trial data for accelerating ALS research and development.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Computational Biology (Del Sol Group)
Disciplines :
Biotechnology
Author, co-author :
Küffner, Robert
Zach, Neta
Norel, Raquel
Hawe, Johann
Schoenfeld, David
Wang, Liuxia
Li, Guang
Fang, Lilly
Mackey, Lester
Hardiman, Orla
Cudkowicz, Merit
Sherman, Alexander
Ertaylan, Gökhan ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Grosse-Wentrup, Moritz
Hothorn, Torsten
Ligtenberg, Jules van
Macke, Jakob H
Meyer, Timm
Schölkopf, Bernhard
Tran, Linh
Vaughan, Rubio
Stolovitzky, Gustavo
Leitner, Melanie L
More authors (13 more) Less
External co-authors :
yes
Language :
English
Title :
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
Publication date :
2015
Journal title :
Nature Biotechnology
ISSN :
1546-1696
Publisher :
Nature Publishing Group, New York, United States - New York
Volume :
33
Issue :
1
Pages :
51-57
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 04 April 2016

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