Your browser doesn't support javascript.
loading
Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2.
Le, Anthony T; Wu, Manhong; Khan, Afraz; Phillips, Nicholas; Rajpurkar, Pranav; Garland, Megan; Magid, Kayla; Sibai, Mamdouh; Huang, ChunHong; Sahoo, Malaya K; Bowen, Raffick; Cowan, Tina M; Pinsky, Benjamin A; Hogan, Catherine A.
Afiliação
  • Le AT; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Wu M; Department of Anesthesiology, Stanford University School of Medicine, Stanford, CA, United States.
  • Khan A; British Columbia Center for Disease Control Public Health Laboratory, Vancouver, BC, Canada.
  • Phillips N; Stanford Computer Science Department, Stanford University, Stanford, CA, United States.
  • Rajpurkar P; Stanford Computer Science Department, Stanford University, Stanford, CA, United States.
  • Garland M; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Magid K; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Sibai M; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Huang C; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Sahoo MK; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Bowen R; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Cowan TM; Stanford Biochemical Genetics Laboratory, Stanford Health Care, Palo Alto, CA, United States.
  • Pinsky BA; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.
  • Hogan CA; Clinical Chemistry and Immunology Laboratory, Stanford Health Care, Palo Alto, CA, United States.
Front Microbiol ; 13: 1059289, 2022.
Article em En | MEDLINE | ID: mdl-37063449
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos