May 18, 2020 Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the spread of COVID-19.

A team comprising researchers from ORNL and Georgia Tech are using artificial intelligence methods designed to unearth relevant information from about 18 million available research documents. They looked for connections among 84 billion concepts and cross-referenced keywords associated with COVID-19 such as high fever, dry cough and shortness of breath with existing medical solutions.

Our goal is to assist doctors and researchers ability to identify information about drug therapies that are already approved by the U.S. Federal Drug Administration, said ORNLs Ramakrishnan Ramki Kannan.

A massive subset of 6 million documents dated between 2010 and 2015 took 80 minutes, and the entire 18 million will take less than a day to run on Summit. Results will be shared with medical researchers for feedback, which will inform adjustments to improve future calculations.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. ORNLs diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

Source: Oak Ridge National Laboratory

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ORNL Summit Supercomputer Resource Leveraged to Mine for COVID-19 Connections - HPCwire