01 May Machine-learning model can distinguish antibody targets
Posted at 10:32h
in Scoop.it
A new study shows that it is possible to use the genetic sequences of a person’s antibodies to predict what pathogens those antibodies will target. Reported in the journal Immunity, the new approach successfully differentiates between antibodies against influenza and those attacking SARS-CoV-2, the virus that causes COVID-19.
Read the full article at: news.illinois.edu