How A.I. may make sense of 50,000 coronavirus research papers
Some snapshots:
A little over a month ago, the White House Office of Science and Technology Policy enlisted several big research groups and companies to collaborate on a major A.I. project intended to help experts unravel the mysteries of COVID-19.
The project’s goal was to place thousands of medical papers related to the coronavirus into a single dataset, dubbed CORD-19.
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As of last week, the CORD-19 dataset had ballooned to over 50,000 medical papers and has been downloaded over 75,000 times, the Allen Institute for AI (AI2) said in an updated paper.
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Rens van de Schoot, a professor specializing in statistics at Utrecht University in the Netherlands, explained that his research team is developing machine learning-powered search tools to help scientists retrieve information finely tuned to their specific inquiries.
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Currently, van de Schoot said that some European healthcare groups are testing his research team’s coronavirus search tools alongside their more old-school manual searching techniques.
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And if the project doesn’t lead to dramatic results for the current coronavirus pandemic, at least “we have the infrastructure for the next big event,” van de Schoot said.