An online tool to illustrate the effects of different COVID-19 control measures has been developed by a team of University of Cambridge researchers.

Modelling tools originally designed to improve the efficiency of factories are being used by Cambridge engineers to help Addenbrooke’s Hospital manage the COVID-19 emergency.

A new app, which will be used to collect data to develop machine learning algorithms that could automatically detect whether a person is suffering from COVID-19 based on the sound of their voice, their breathing and coughing, has been launched by researchers at the University of Cambridge.

Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which could aid in the development of safer and more reliable batteries for electric vehicles and consumer electronics.

In addition, those on low incomes are more likely to have lost jobs or pay, and less able to complete work tasks from home. Researchers warn the COVID-19 downturn is likely to “increase inequality between young and old”.

In addition, those on low incomes are more likely to have lost jobs or pay, and less able to complete work tasks from home. Researchers warn the COVID-19 downturn is likely to “increase inequality between young and old”.

A new rapid diagnostic test for COVID-19, developed by a University of Cambridge spinout company and capable of diagnosing the infection in under 90 minutes, is being deployed at Cambridge hospitals, ahead of being launched in hospitals nationwide.