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  • [\'Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.\', \'Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France.\', \'Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France.\', \'Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France.\', \'Owkin Lab, Owkin, Inc, New York, NY, USA.\', \'Département Interdisciplinaire d\'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France.\', \'Département de Biologie, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France.\', \'Direction de la Transformation Numérique et des Systèmes d\'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France.\', \'Département d\'Oncologie Médicale, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France.\', \'Owkin Lab, Owkin, Inc, New York, NY, USA. michael.blum@owkin.com.\']
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  • 10.1038/s41467-020-20657-4
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  • Nature communications
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  • 33504775
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  • 198
?:title
  • Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.
?:type
?:year
  • 2021

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