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Two data scientists say theyve created AI algorithms that can do in a week what biological researchers might otherwise spend years trying to pull off in a laboratory: discover antibody-based treatments that have a fighting chance to beat back COVID-19.

In fact, studies have shown it takes an average of five years and half a billion dollars to find and fine-tune antibodies in a lab, Andrew Satz and Brett Averso, both execs of a 12-member startup called EVQLV, explain.

Speaking with their alma mater, Columbia Universitys Data Science Institute, Satz and Averso say their machine-learning algorithms can help by cutting the chances of costly experimental failures in the lab.

We fail in the computer as much as possible to reduce the possibility of downstream failure in the laboratory, Satz tells the institutes news division. [T]hat shaves a significant amount of time from laborious and time-consuming work.

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Machine learning teams with antibody science on COVID-19 treatment discovery - AI in Healthcare