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Exploiting big data survival information to unify risk-stratification related, adaptive immune receptor parameters for multiple myeloma.
Wolmarans, Hope J; Barker, Vayda R; Chobrutskiy, Andrea; Chobrutskiy, Boris I; Huda, Taha I; Blanck, George.
Afiliação
  • Wolmarans HJ; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
  • Barker VR; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
  • Chobrutskiy A; Department of Pediatrics, Oregon Health and Science University Hospital, Portland, OR, 97239, USA.
  • Chobrutskiy BI; Department of Internal Medicine, Oregon Health and Science University Hospital, Portland, OR, 97239, USA.
  • Huda TI; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
  • Blanck G; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA. gblanck@usf.edu.
Genes Immun ; 24(4): 194-199, 2023 08.
Article em En | MEDLINE | ID: mdl-37443300
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mieloma Múltiplo Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mieloma Múltiplo Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos