Computer model makes strides in search for COVID-19 treatments
A new deep-learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
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A new deep-learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Read moreUsing advanced computational simulations, researchers at the University of Chicago have revealed just how remdesivir works at the molecular level, and also found that two drugs that work in a similar manner, ribavirin and favilavir, do not bind as effectively to the virus.
Read moreA new potential therapy for COVID-19 developed by researchers at Rush University Medical Center has shown success in preventing the disease’s symptoms in mice.
Read moreThroughout the COVID-19 pandemic, Rush University Medical Center has been a leader in the Chicago area in developing, expanding and evolving testing efforts. On Friday, Nov. 13, the Medical Center performed its 100,000th test for COVID-19.
Read moreGeorge Washington University researchers found five biomarkers associated with higher odds of clinical deterioration and death in COVID-19 patients. Published in Future Medicine, these findings will help physicians better predict outcomes for COVID-19 patients in the U.S.
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