During the developing COVID-19 pandemic, the Nuffield Department of Medicine Research Building is taking measures to prevent the spread of the disease.
Departments are instructed by the University's Registrar to continue to work from home where possible, and manage the return to on site working, based on the University guidelines for risk assessments and work prioritisation.
This is to restrict contact between individuals as far as possible. The University remains open and operating as far as possible with the following restrictions:
- No public access to the University
On-site activity permitted where it cannot be undertaken remotely, driven by safety, capacity and other factors such as schools reopening/other changes in government guidelines
Teaching and assessment are undertaken remotely where possible and, depending on government guidelines, gatherings of staff and students only permitted where essential for teaching and assessment to take place
Podcast: Meet our researchers
21 October 2020
Initial findings from a study looking at the longer-term impact of COVID-19 has found that a large proportion COVID-19 patients discharged from hospital were still experiencing symptoms of breathlessness, fatigue, anxiety and depression two to three months after contracting the virus.
21 October 2020
Scientists from Oxford University’s Department of Physics have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Erratum: Quality Control of ER Membrane Proteins by the RNF185/Membralin Ubiquitin Ligase Complex (Molecular Cell (2020) 79(5) (768–781.e7), (S1097276520304755), (10.1016/j.molcel.2020.07.009))
van de Weijer ML. et al, (2020), Molecular Cell, 80, 374 - 375
Artificial intelligence-driven real-time 3D surface quantification of Barrett's oesophagus for risk stratification and therapeutic response monitoring
Ali S. et al, (2020)
Microscopic fine-grained instance classification through deep attention
Fan M. et al, (2020)
Urine recirculation prolongs normothermic kidney perfusion via more optimal metabolic homeostasis – a proteomics study
Weissenbacher A. et al, (2020), American Journal of Transplantation
Artificial intelligence for colonoscopic polyp detection: High performance versus human nature.
East JE. and Rittscher J., (2020), Journal of gastroenterology and hepatology, 35, 1663 - 1664
A functional genomic screen identifies the deubiquitinase USP11 as a novel transcriptional regulator of ERα in breast cancer
Dwane L. et al, (2020), Cancer Research, canres.0214.2020 - canres.0214.2020