Health IT Analytics March 25, 2020
Researchers are using machine learning algorithms capable of generating millions of therapeutic antibodies to quickly find treatments for COVID-19.
Using machine learning algorithms, two data scientists are working to quickly discover effective treatments for COVID-19.
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Andrew Satz and Brett Averso, graduates of the Data Science Institute at Columbia University, have launched a startup called EVQLV that creates algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies.
Using this technology, the pair is working to discover treatments that will most likely help individuals infected by the virus that causes COVID-19. The machine learning algorithms are able to rapidly screen for therapeutic...
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