#GraphCast: Graphs Connecting COVID-19 Research

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.

Last time, our Staff Writer, Zaw Win Htet, highlighted the Graphs4Good GraphHack that worked on graph-powered solutions to the COVID-19 epidemic..

Catch this week's GraphCast on how graph databases help with drug discovery for COVID-19 research

This week, I picked another way that the Neo4j graph database is helping in the fight against COVID-19. Earlier this week, Alicia Frame – the Lead Product Manager for Data Science at Neo4j – was interviewed by Karen Roby at TechRepublic on how Neo4j is being used for drug discovery and other pharmaceutical research in the midst of the coronavirus pandemic.

Watch their interview in the video below or on TechRepublic:

In the interview, Alicia explains how graph technology helps accelerate research in medicine and life sciences by connecting disparate datasets. She also gives the specific example of tellic in New York City who are using Neo4j to parse and connect textual data such as academic papers using Natural Language Processing (NLP).

Psst! If you’re interested in learning more about how graph technology powers innovation in life sciences and healthcare, register for our next Connections virtual event happening on 30 June (or sign up to get the recordings after the event).

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