Al pathology in immuno-oncology research

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

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