How A.I. may make sense of 50,000 coronavirus research papers
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.
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.
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.
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.