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Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer.
Spratt, Daniel E; Tang, Siyi; Sun, Yilun; Huang, Huei-Chung; Chen, Emmalyn; Mohamad, Osama; Armstrong, Andrew J; Tward, Jonathan D; Nguyen, Paul L; Lang, Joshua M; Zhang, Jingbin; Mitani, Akinori; Simko, Jeffry P; DeVries, Sandy; van der Wal, Douwe; Pinckaers, Hans; Monson, Jedidiah M; Campbell, Holly A; Wallace, James; Ferguson, Michelle J; Bahary, Jean-Paul; Schaeffer, Edward M; Sandler, Howard M; Tran, Phuoc T; Rodgers, Joseph P; Esteva, Andre; Yamashita, Rikiya; Feng, Felix Y.
Afiliación
  • Spratt DE; Case Western Reserve University.
  • Tang S; Stanford University.
  • Sun Y; Case Western Reserve University.
  • Huang HC; Artera, Inc.
  • Chen E; Artera, Inc.
  • Mohamad O; University of California San Francisco.
  • Armstrong AJ; Duke Cancer Institute Center for Prostate and Urologic Cancer.
  • Tward JD; Huntsman Cancer Institute, University of Utah.
  • Nguyen PL; Dana-Farber/Brigham Cancer Center.
  • Lang JM; University of Wisconsin.
  • Zhang J; Artera, Inc.
  • Mitani A; Artera, Inc.
  • Simko JP; University of California San Francisco.
  • van der Wal D; Artera, Inc.
  • Pinckaers H; Artera, Inc.
  • Monson JM; Saint Agnes Medical Center.
  • Campbell HA; Saint John Regional Hospital.
  • Wallace J; University of Chicago Medicine Medical Group.
  • Ferguson MJ; Allan Blair Cancer Centre.
  • Bahary JP; CHUM - Centre Hospitalier de l'Universite de Montreal.
  • Schaeffer EM; Northwestern University Feinberg School of Medicine.
  • Sandler HM; Cedars-Sinai Medical Center.
  • Tran PT; University of Maryland School of Medicine.
  • Rodgers JP; NRG Oncology.
  • Esteva A; Artera, Inc.
  • Yamashita R; Artera, Inc.
  • Feng FY; University of California San Francisco.
Res Sq ; 2023 Apr 21.
Article en En | MEDLINE | ID: mdl-37131691
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article