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Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
Esteva, Andre; Feng, Jean; van der Wal, Douwe; Huang, Shih-Cheng; Simko, Jeffry P; DeVries, Sandy; Chen, Emmalyn; Schaeffer, Edward M; Morgan, Todd M; Sun, Yilun; Ghorbani, Amirata; Naik, Nikhil; Nathawani, Dhruv; Socher, Richard; Michalski, Jeff M; Roach, Mack; Pisansky, Thomas M; Monson, Jedidiah M; Naz, Farah; Wallace, James; Ferguson, Michelle J; Bahary, Jean-Paul; Zou, James; Lungren, Matthew; Yeung, Serena; Ross, Ashley E; Sandler, Howard M; Tran, Phuoc T; Spratt, Daniel E; Pugh, Stephanie; Feng, Felix Y; Mohamad, Osama.
Afiliación
  • Esteva A; Artera, Inc, Mountain View, CA, USA. aesteva@artera.ai.
  • Feng J; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • van der Wal D; Artera, Inc, Mountain View, CA, USA.
  • Huang SC; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Simko JP; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • DeVries S; NRG Oncology Biospecimen Bank, San Francisco, CA, USA.
  • Chen E; Artera, Inc, Mountain View, CA, USA.
  • Schaeffer EM; Department of Urology, Northwestern University, Evanston, IL, USA.
  • Morgan TM; Division of Urologic Oncology, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA.
  • Sun Y; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
  • Ghorbani A; Salesforce Research, San Francisco, CA, USA.
  • Naik N; Salesforce Research, San Francisco, CA, USA.
  • Nathawani D; Salesforce Research, San Francisco, CA, USA.
  • Socher R; Salesforce Research, San Francisco, CA, USA.
  • Michalski JM; Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Roach M; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Pisansky TM; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
  • Monson JM; Department of Radiation Oncology, cCare, Fresno, CA, USA.
  • Naz F; Department of Radiation Oncology, Horizon Health Network-Saint John Regional Hospital, Saint John, JB E2L 4L2, CA, Canada.
  • Wallace J; Department of Hematology and Oncology, Ingalls Memorial Hospital, Harvey, IL, USA.
  • Ferguson MJ; Department of Radiation Oncology, Allan Blair Cancer Centre, Regina, SK S4T 7T1, CA, Canada.
  • Bahary JP; Department of Radiation Oncology, CHUM - Centre Hospitalier de l'Universite de Montreal, Montreal, QC H2X 3E4, CA, Canada.
  • Zou J; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Lungren M; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Yeung S; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Ross AE; Department of Urology, Northwestern University, Evanston, IL, USA.
  • Sandler HM; Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Tran PT; Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA.
  • Spratt DE; Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
  • Pugh S; NRG Oncology Statistics and Data Management Center, Philadelphia, PA, USA.
  • Feng FY; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Mohamad O; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
NPJ Digit Med ; 5(1): 71, 2022 Jun 08.
Article en En | MEDLINE | ID: mdl-35676445
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos