Dr Sarah MacQuarrie from the Institute of Education has developed a new way of disseminating and promoting student projects with a little help from our Research Software Engineers.

A tool created in conjunction with the Digital Experimental Cancer Medicine Team to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 has been selected for a NIHR Clinical Research Network award.

In January 2021, our Research Software Engineers worked with the Digital Experimental Cancer Medicine Team (dECMT) to create a tool to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19. The tool has been so successful that multiple improvements are now planned.

“Missing the Village? We all do. Researchers at University of Manchester are looking to hear about your experiences of the Manchester Village and what you want it to be in the future. You can share them anonymously on the new Manchester Village Stories website and make your views heard about the Village. #MCRVillageStories. ”

Cancer patients are at increased risk of severe COVID-19. Decision-making tools for hospital admission, severity prediction and increased monitoring for early intervention are critical. The objective of this project was to identify features of COVID-19 in cancer patients predicting severe disease and build a decision-support online tool - COVID-19 Risk in Oncology Evaluation Tool (CORONET).