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Two companion studies report new artificial intelligence approaches for identification of molecular "fingerprints" for specific infections. The methods, used here to derive a fingerprint for COVID-19, can advance the development of rapid diagnostics for many infectious diseases.
February 15, 2021
by Julie Parry
In March of 2020, Shelli Farhadian, MD, PhD, assistant professor of medicine (infectious diseases) and neurology, began to see parallels in her pre-pandemic research on neurologic effects in patients with HIV infection and the possibility of neurologic effects on patients with SARS-CoV-2, or COVID-19.
“There was some literature out there that suggested that coronaviruses could have an effect on the brain. So, knowing that that was a potential possibility, even before we had our first case at Yale New Haven Hospital, I worked with other people to set up a protocol where we could consent patients to collect tissue specimens and information to try to see if this was also going happen with SARS-CoV-2,” explained Farhadian.