Unit News
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WVU announces plans for return to campus for fall semester, communication timeline released
Wednesday, June 3, 2020
Students will return to West Virginia University’s three campuses to begin fall classes on Wednesday, Aug. 19, the University announced today (June 3). Students will remain on campus, with no fall break, through Nov. 24, then depart for Thanksgiving Break, not returning to campus for the rest of the fall semester. There will be one week of online instruction following Thanksgiving Break, with finals also conducted online. -
Gee calls on higher ed to create necessary dialogues, asks WVU community to lean on Mountaineer values in wake of Floyd, ‘countless’ other Black deaths
Wednesday, June 3, 2020
West Virginia University President Gordon Gee penned a letter to the Mountaineer family Wednesday, June 3, reflecting on the recent death of George Floyd, the other deaths in the Black community and the events of recent days. -
Health Sciences classroom restrictions and in-person meetings
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Tuesday, June 2, 2020
During the summer semester, the use of all Health Sciences (HSC) classrooms will be restricted to ONLY essential academic activities that cannot be held online (i.e. gross anatomy lab, simulation lab, etc.) and that are necessary to ensure the progression of our students.Read Health Sciences classroom restrictions and in-person meetings full story
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WVU in the News: Federal Scientists Finally Publish Remdesivir Data
Monday, June 1, 2020
A clinical trial led to the authorization of the only drug shown to work in Covid-19 patients. But until now, few experts had seen the numbers.Read WVU in the News: Federal Scientists Finally Publish Remdesivir Data full story
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WVU Rockefeller Neuroscience Institute announces capability to predict COVID-19 related symptoms up to three days in advance
Thursday, May 28, 2020
The West Virginia University Rockefeller Neuroscience Institute (RNI) and WVU Medicine, in conjunction with Oura Health, have addressed a major concern regarding the spread of COVID-19. The RNI has created a digital platform that can detect COVID-19 related symptoms up to three days before they show up.