Thanks to this cooperation, researchers in Luxembourg were able to gain access to blood samples from severely ill Covid-19 patients relatively quickly.

Computer scientists used this data to develop a model which is expected to help identify patients who might suffer a severe course of disease at an early stage.

Jorge Goncalves, computer scientist at the Luxembourg Institute for systematic biomedicine, was in Wuhan last November.

The research centre LCSB from the University of Luxembourg has been working together with the University of Wuhan for years. The most recent cooperation actually goes back to a former student of Jorge Goncalves:
"The cooperation was made possible thanks to a former student of mine, back when I was a professor at the University of Cambridge. He has been working in China for the past four years. He contacted me and told me that he managed to get hold of a significant number of blood samples from severely ill Covid-19 patients from one of the biggest hospitals in Wuhan. So these are patients who went through a very dangerous course of the disease".

The data was then made available to computer scientists in Luxembourg, who tried to find out if you could predict the course of a disease based on blood counts.

The current projections are 90% reliable. A simple blood test is enough to give doctors an indication of how the course of a disease will look like for specific patients.

Of course, this sort of artificial intelligence will not replace the actual doctor.

Video report in Luxembourgish.

Uni.lu schafft mat Uni Wuhan zesummen
Iwwert dëse Wee si Fuerscher zu Lëtzebuerg relativ séier u Bluttprouwe vu schwéierkranke Covid-19-Patiente komm.