Two data scientists say they have 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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
<\/p>\n
See the original post: Two data scientists say they have 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 Continue reading
\nMachine learning teams with antibody science on COVID-19 treatment discovery - AI in Healthcare<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"