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  • [\'Department of Gynecology, Molecular Gynecology and Metabolomics Lab, College of Medicine of the Federal University of São Paulo (EPM-UNIFESP), São Paulo, São Paulo, Brazil.\', \'Nagourney Institute, Long Beach, California, United States of America.\', \'Metabolomycs, Inc., Long Beach, California, United States of America.\', \'Nagourney Cancer Institute, Long Beach, California, United States of America.\', \'Department of Emergency and Intensive Care Unit, CASSEMS Hospital, Campo Grande, Mato Grosso do Sul, Brazil.\', \'Department of Medicine, Infectious Disease Division, Retrovirology Laboratory, College of Medicine of the Federal University of São Paulo (EPM-UNIFESP), São Paulo, São Paulo, Brazil.\', \'Institute for Clinical and Translational Science (ICTS), University of California Irvine (UCI), Irvine, California, United States of America.\', \'Todd Cancer Institute, Memorial Medical Center of Long Beach, Long Beach, California, United States of America.\', \'Department of Obstetrics and Gynecology, University of California Irvine (UCI), Orange, California, United States of America.\']
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  • -1
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?:doi
?:doi
  • 10.1371/journal.pone.0259909
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  • PloS one
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?:pmid
  • 34851990
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  • 1.164
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  • 241
?:title
  • Towards risk stratification and prediction of disease severity and mortality in COVID-19: Next generation metabolomics for the measurement of host response to COVID-19 infection.
?:type
?:year
  • 2021

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