VantagePoint text-mining software will be engaged in an NSF-funded RAPID project titled "Corona Virus -- Exploring Causes and Cures through Literature Based Discovery." Resolving the COVID-19 pandemic, and future crises, demands rapid and comprehensive access to pertinent research knowledge. This project promotes the progress of science to advance national health and welfare by enhancing capability to understand global research literature (i.e. tens of thousands of biomedical articles growing explosively week by week) and to hone in on findings that bear on combating the virus. The project will employ two distinct approaches to provide means to access vital findings, and tools to discover connections across disciplines and among causes, biomarkers, conditions, and treatments for COVID-19.

The first approach will use bibliometric and text analytic methods to help researchers elicit virus attributes, investigate contributing causes, and identify biomarkers. Bi-weekly summaries of key findings in the COVID-19  literature,arranged by topics, country, and organization will be posted at "http://www.techminingforglobalgood.org/open-covid-19-research-for-analysis/". 

The second project apporoach will be to advance Literature Based Discovery methods to extract key components of a target domain and then explore other, distinct domains for potential causes, vital biomechanisms, and treatments that could be repurposed as novel COVID-19 treatment approaches. These methods can help relate seemingly distant research knowledge to help address future crises too.