The Michael J. Fox Foundation for Parkinson’s Research (MJFF) has announced two winners of its Parkinson’s Progression Markers Initiative (PPMI) Data Challenge. The challenge sought to attract researchers and data scientists to analyze the longitudinal biomarker data from the PPMI, in order to identify predictors of disease progression and develop models to stratify Parkinson’s disease patients for clinical trials. The winning teams, hailing from University of California, San Francisco, and Weill Cornell Medicine in New York, each won $25,000. Similar crowdsourcing competitions have been awarded by Prize4Life in the ALS field for identifying progression markers and patient subgroups based on the ALS clinical trial database, PRO-ACT (see Nov 2012 news, Nov 2015 news). These MJFF challenges further demonstrate the power of big data crowdsourcing challenges to leverage expertise of scientists from diverse fields to advance neurodegenerative disease research.
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