Al pathology in immuno-oncology research

Immuno-Oncology Insights 2023; 4(3), 193;

DOI: 10.18609/ioi.2023.024

Published: 2 June 2023
Marija Pezer

Watch the video or view the poster to learn more about:

  • Manual pathology limitations in scale, precision, accuracy and reproducibility that can be solved using AI digital pathology methods
  • Why machine learning approaches used to develop digital pathology models can differ in precision and accuracy of counting and classifying cells in the tumor microenvironment from images of H&E stains
  • Models designed to detect features from a H&E stain image which can be used to generate insights into the biology of disease, which in turn could help identify patients more likely to respond to immunotherapy
  • Models developed in H&E which could be deployed into clinical trials in a scalable and efficient manner to help prospectively monitor treatment effects