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  • [\'Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.\', \'Cancer Computational Biology Center, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands.\', \'Department of Statistical Sciences, University of Rome \'La Sapienza\', Roma, Italy.\', \'Immunology Division, Hospital Universitari Vall d\'Hebron, Campus Vall d\'Hebron, Barcelona, Spain.\', \'School of Informatics, Faculty of Sciences, Aristotle University of Thessaloniki, Thessalonica, Greece.\', \'Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thermi, Thessalonica, Greece.\', \'Cytek Biosciences, Fremont, CA, USA.\', \'Cell Biology, Physiology and Immunology Department, Universitat Autònoma de Barcelona, Barcelona, Spain.\', \'Translational Immunology Research Group, Vall d\'Hebron Institut de Recerca (VHIR), Campus Vall d\'Hebron, Barcelona, Spain.\', \'Department of Internal Medicine, Section Infectious Diseases, and Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands.\', \'Vall d\'Hebron Institute of Oncology (VHIO), Barcelona, Spain.\', \'Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands. p.katsikis@erasmusmc.nl.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41467-022-28621-0
?:doi
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?:journal
  • Nature communications
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?:pmid
  • 35177626
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  • 6.582
?:rankingScore_hIndex
  • 198
?:title
  • Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning.
?:type
?:year
  • 2022

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