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Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease.
Charlton, Jennifer R; Li, Teng; Wu, Teresa; deRonde, Kimberly; Xu, Yanzhe; Baldelomar, Edwin J; Bennett, Kevin M.
Afiliação
  • Charlton JR; School of Medicine, Department of Pediatrics, Division Nephrology, University of Virginia, Box 800386, Charlottesville, VA, 22903, USA. jrc6n@virginia.edu.
  • Li T; Department of Computer Science, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
  • Wu T; Department of Industrial Engineering, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
  • deRonde K; School of Medicine, Department of Pediatrics, Division Nephrology, University of Virginia, Box 800386, Charlottesville, VA, 22903, USA.
  • Xu Y; Department of Industrial Engineering, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
  • Baldelomar EJ; Washington University in St. Louis, Mallinckrodt Institute of Radiology, St. Louis MO, USA.
  • Bennett KM; Washington University in St. Louis, Mallinckrodt Institute of Radiology, St. Louis MO, USA.
BMC Nephrol ; 24(1): 178, 2023 06 19.
Article em En | MEDLINE | ID: mdl-37331957
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Injúria Renal Aguda Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: BMC Nephrol Assunto da revista: NEFROLOGIA Ano de publicação: 2023 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 Bases de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Injúria Renal Aguda Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: BMC Nephrol Assunto da revista: NEFROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos