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An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer.

Yalai BaiKimberly ColeSandra Martinez-MorillaFahad Shabbir AhmedJon ZugazagoitiaJohan StaafAna BoschAnna EhingerEmma NimeusJohan HartmanBalazs AcsDavid L Rimm
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)
Neural net-driven cell classifier-defined TIL variables were robust and independent prognostic factors in several independent validation cohorts of TNBC patients. These objective, open-source TIL variables are freely available to download and can now be considered for testing in a prospective setting to assess clinical utility.See related commentary by Symmans, p. 5446.
Keyphrases
  • prognostic factors
  • end stage renal disease
  • machine learning
  • deep learning
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • single cell
  • high throughput
  • peritoneal dialysis
  • peripheral blood
  • neural network