---
title: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion
description: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion
---

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# [Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion](https://www.pathai.com/publications/machine-learning-based-identification-of-he-derived-morphologic-features-associated-with-cd8-t-cell-immune-exclusion)

 Written by [Admin](https://www.pathai.com/publications/author/admin) | Apr 5, 2024 4:00:00 AM

## Background

- Immune exclusion, characterized by a predominance of CD8+ T cells in the stroma of the tumor microenvironment (TME) that are not in contact with tumor cells, is associated with a lack of patient response to immune checkpoint inhibitor therapy.
- Artificial intelligence (AI) models have shown promise in quantifying tissue and cellular features from images of hematoxylin and eosin (H&E)-stained slides without the need for immunostaining, but they fall short in identifying specific cell subtypes (e.g., CD8+ T cells vs. other lymphocytes).
- Here, we describe the development of a machine learning model that can classify CD8-based immune phenotypes (IP) using features extracted from H&E images alone.
  
   
  
   

## Conference

AACR 2024

[View Poster](https://www.incendiatx.com/file.cfm/49/docs/poster_aacr2024_cd8fromhe_ml_final.pdf)

[View full post](https://www.pathai.com/publications/machine-learning-based-identification-of-he-derived-morphologic-features-associated-with-cd8-t-cell-immune-exclusion)

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