Combining computing, data-analytics accelerates pace of COVID-19 research

Friday, May 08, 2020

To accelerate the ability to reliably locate reliable COVID-19 research results among all coronavirus studies, algorithms can be applied to existing research to quickly sort, batch and index COVID-19 data for biomedical, public health and other experts. Sandia Labs is investigating boosting rapid-response data science through compression-based analytics that sort relevant existing material to reveal pertinent data. Health experts can benefit from data science research without being data scientists themselves. This new process will clarify questions our biomedical and public health experts need answered to fast-track future COVID-19 research.