Stoleriu MG, Gerckens M, Obereisenbuchner F, et al. - This research was sought to distinguish predictive (bio-)markers for COVID-19 severity derived from automated quantitative thin slice low dose volumetric CT analysis, clinical chemistry, and lung function testing. Between March 16th and June 3rd, 2020, researchers enrolled 74 COVID-19 patients who admitted to the Asklepios Lung Clinic Munich-Gauting, Germany. Individuals were classified in a non-severe group including patients hospitalized on general wards only and in a severe group including patients requiring intensive care treatment. The results of this study exhibited that the automated low dose CT analysis upon admission might be a useful tool to predict COVID-19 severity in patients.