From February to May 2020, the number of scientific papers published on COVID-19 skyrocketed from 29,000 to more than 138,000. As people around the world step up to help, the number will continue to grow exponentially, with projections to swell to more than 1,000,000 by the end of 2020.
That’s good news for the medical community and policymakers working on vaccines and treatments — but only if they’re able to efficiently search the growing body of research. As papers are data-rich and can be hundreds of pages long, finding what you’re looking for, in the time crunch of a global pandemic, can be a challenge.
Introducing COVID-19 Search
Salesforce Research utilized the data from the CORD-19 Challenge and created COVID-19 Search, an AI-powered search engine to equip scientists and researchers with the most relevant COVID-19 research. Sponsored by the White House, and including a number of leading AI and health policy groups – the NIH, Georgetown, AI2, CZI, MSR – the ongoing CORD-19 Challenge aims to catalyze the development of search algorithms and engines designed for researchers and policymakers to better understand and combat COVID-19. It maintains the growing corpus of coronavirus-related publications and makes it easily accessible to the public.