Multiplex computational pathology for treatment response predication.

Journal: Cancer cell
Published Date: Aug 9, 2021

Abstract

Recently published in Science, AstroPath outlines a standardized workflow for multiplex immunofluorescence (mIF) panel development, imaging, and analysis; showcases its potential in biomarker discovery for predicting response to anti-PD-1 treatment; and paves the way for large-scale computational pathology studies on high-quality mIF datasets using data-driven machine-learning techniques.

Authors

  • Ming Y Lu
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Houssein A Sater
    Cleveland Clinic Martin Health Center for Clinical Research, Stuart, FL 34994, USA.
  • Faisal Mahmood
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.

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