Resistance to COVID infection (IMAGE)
Caption
A research team from Johns Hopkins Medicine and The Johns Hopkins University has created and preliminarily tested a machine-learning statistical model that — using data from electronic health records — may soon be able to predict who is naturally resistant to infection by SARS-CoV-2, the virus that causes COVID-19.
Credit
Graphic created by M.E. Newman, Johns Hopkins Medicine, using public domain images, including electron micrograph of SARS-CoV-2 infection courtesy of the National Institute of Allergy and Infectious Diseases
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