Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach

The ALS Stratification Consortium

研究成果: Article同行評審

47 引文 斯高帕斯(Scopus)

摘要

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease where substantial heterogeneity in clinical presentation urgently requires a better stratification of patients for the development of drug trials and clinical care. In this study we explored stratification through a crowdsourcing approach, the DREAM Prize4Life ALS Stratification Challenge. Using data from >10,000 patients from ALS clinical trials and 1479 patients from community-based patient registers, more than 30 teams developed new approaches for machine learning and clustering, outperforming the best current predictions of disease outcome. We propose a new method to integrate and analyze patient clusters across methods, showing a clear pattern of consistent and clinically relevant sub-groups of patients that also enabled the reliable classification of new patients. Our analyses reveal novel insights in ALS and describe for the first time the potential of a crowdsourcing to uncover hidden patient sub-populations, and to accelerate disease understanding and therapeutic development.

原文English
文章編號690
期刊Scientific reports
9
發行號1
DOIs
出版狀態Published - 2019

All Science Journal Classification (ASJC) codes

  • 多學科

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