Two other projects initiated with the support of the CERN Medical Applications budget were quickly adapted to COVID-19 research. CAFEIN, the Computer-Aided deFEcts detection, Identification and classificatioN project, was adapted to help distinguish COVID-19 pneumonia from other types of viral and bacterial pneumonia. MARCHESE, the Machine-leArning-based human ReCognition and HEalth monitoring SystEm, explored the development of artificial intelligence predictive algorithms to support the digital Experimental Cancer Medicine Team (digitalECMT) efforts (University of Manchester, University Hospital Southampton).