A University of Cambridge team led by Professor Mihaela van der Schaar and intensive care consultant Dr Ari Ercole of the Cambridge Centre for AI in Medicine (CCAIM) is calling for urgent research into the striking differences in COVID-19 deaths they have discovered between the intensive care units of NHS trusts across England.
Even basic homemade masks can significantly reduce transmission if enough people wear them when in public, according to latest modelling. Researchers call for information campaigns that encourage the making and wearing of facemasks.
Jorge Goncalves is an expert in artificial intelligence and mathematical modelling of complex systems. With long-term collaborators based in Wuhan, China, when the COVID-19 outbreak started he seized the opportunity to help. Using data representing almost 500 patients from Wuhan, he has created a sophisticated model to accurately predict disease severity and help identify high-risk patients.
Researchers say faster tests helped expedite access to life-saving treatments such as organ transplants – and might make all the difference later this year.