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Digital ECMT Cancer Trial Matching Tool: an Open Source Research Application to Support Oncologists in the Identification of Precision Medicine Clinical Trials.
O'Regan, Paul; Hoskins, Richard; Grave, Christopher; Stevenson, Julie-Anne; Frost, Hannah; Graham, Donna M; Krebs, Matthew G; Freitas, Andre; Landers, Dónal.
Afiliación
  • O'Regan P; Digital Experimental Cancer Medicine Team, Cancer Research UK Manchester Institute, The Oglesby Cancer Research Building, The University of Manchester, Manchester, United Kingdom.
  • Hoskins R; Research IT, The University of Manchester, Manchester, United Kingdom.
  • Grave C; Research IT, The University of Manchester, Manchester, United Kingdom.
  • Stevenson JA; Digital Experimental Cancer Medicine Team, Cancer Research UK Manchester Institute, The Oglesby Cancer Research Building, The University of Manchester, Manchester, United Kingdom.
  • Frost H; Digital Experimental Cancer Medicine Team, Cancer Research UK Manchester Institute, The Oglesby Cancer Research Building, The University of Manchester, Manchester, United Kingdom.
  • Graham DM; Department of Computer Science, Kilburn Building, The University of Manchester, Manchester, United Kingdom.
  • Krebs MG; Digital Experimental Cancer Medicine Team, Cancer Research UK Manchester Institute, The Oglesby Cancer Research Building, The University of Manchester, Manchester, United Kingdom.
  • Freitas A; Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
  • Landers D; Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
JCO Clin Cancer Inform ; 7: e2200137, 2023 01.
Article en En | MEDLINE | ID: mdl-36657092
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oncólogos / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: JCO Clin Cancer Inform Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oncólogos / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: JCO Clin Cancer Inform Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido