Mark2Cure

Mark2Cure

If you can read English, you can help in the process of biomedical discovery. Scientific literature is growing fast and it is hard for scientists to know what to read and to read everything that is relevant. Mark2Cure works by teaching citizen scientists to identify concepts and relationships in biomedical text. This is a task that anyone can learn to do and can perform better than any known computer program. Mark2Cure is a project by the Scripps Research Institue.



        Help identify key terms in ALL biomedical research abstracts        
midcore | annotation | medicine | computer (browser)

Articles

Science and AAAS, on citizen science games

Humans best computers in atom-snatching game By Adrian Cho, Apr 13, 2016 Bring Home Water relies on people’s knack for performing tasks that involve dynamic movement. […] Jacob Sherson, the physicist at Aarhus University in […]

Coop’s Scoop: Opening Access with Citizen Science in a Word

When Aaron Swartz committed suicide in 2013, he was facing up to 35 years in prison and a one-million dollar fine for 13 felony counts related to violating copyright laws. Today the NY Southern District […]

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Publications

Mark2Cure – Citizen Science for Mining the Biomedical Literature

Biomedical literature represents one of the largest and fastest growing collections of unstructured biomedical knowledge. Finding critical information buried in the literature can be challenging. To extract information from free-flowing text, researchers need to: 1. […]

Microtask crowdsourcing for disease mention annotation in PubMed abstracts

Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses. Many biological natural language process (BioNLP) projects attempt to address this challenge, but the state of the art in BioNLP […]

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Interviews

Daniel Levine interviews Andrew Su about his project Mark2Cure

RARECast: Tapping the Public to Keep Scientists Current on Rare Disease Research The search for cures for diseases is limited by the ability of scientists to consume and understand the rapidly expanding volumes of biomedical […]

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