Anthony Gitter and Casey Greene, both professors of Bioinformatics, wrote in 2016 a paper about biomedical applications for deep learning. Today, they have 40 collaborators whereof most of them now are regarded as co-authors of the paper. Since the professors after finishing the paper set it out for crowdsourcing. The crowdsourced version is called “Opportunities and obstacles for deep learning in biology and medicine,” and was published April 4, 2018, in the Journal of the Royal Society Interface. In this way, the work process has been similar to the work in an open source community. The revisions both included simplifying the language for better understanding as well as improving knowledge-base of sections within the paper. The main purpose and goal of the project have been to explore how to use deep learning for better clinical decision-making. Source: EurekAlert
Crowdsourcing research to improve outcome
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