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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.
Diao, James A; Wang, Jason K; Chui, Wan Fung; Mountain, Victoria; Gullapally, Sai Chowdary; Srinivasan, Ramprakash; Mitchell, Richard N; Glass, Benjamin; Hoffman, Sara; Rao, Sudha K; Maheshwari, Chirag; Lahiri, Abhik; Prakash, Aaditya; McLoughlin, Ryan; Kerner, Jennifer K; Resnick, Murray B; Montalto, Michael C; Khosla, Aditya; Wapinski, Ilan N; Beck, Andrew H; Elliott, Hunter L; Taylor-Weiner, Amaro.
Afiliación
  • Diao JA; PathAI, Inc., Boston, MA, USA.
  • Wang JK; Program in Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Chui WF; PathAI, Inc., Boston, MA, USA.
  • Mountain V; Program in Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Gullapally SC; PathAI, Inc., Boston, MA, USA.
  • Srinivasan R; Program in Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Mitchell RN; PathAI, Inc., Boston, MA, USA.
  • Glass B; PathAI, Inc., Boston, MA, USA.
  • Hoffman S; PathAI, Inc., Boston, MA, USA.
  • Rao SK; Program in Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Maheshwari C; Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Lahiri A; PathAI, Inc., Boston, MA, USA.
  • Prakash A; PathAI, Inc., Boston, MA, USA.
  • McLoughlin R; PathAI, Inc., Boston, MA, USA.
  • Kerner JK; PathAI, Inc., Boston, MA, USA.
  • Resnick MB; PathAI, Inc., Boston, MA, USA.
  • Montalto MC; PathAI, Inc., Boston, MA, USA.
  • Khosla A; PathAI, Inc., Boston, MA, USA.
  • Wapinski IN; PathAI, Inc., Boston, MA, USA.
  • Beck AH; PathAI, Inc., Boston, MA, USA.
  • Elliott HL; Department of Pathology, Warren Alpert Medical School, Providence, RI, USA.
  • Taylor-Weiner A; PathAI, Inc., Boston, MA, USA.
Nat Commun ; 12(1): 1613, 2021 03 12.
Article en En | MEDLINE | ID: mdl-33712588

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Patología Molecular / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Patología Molecular / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos