Abstract
The interplay between tumor and immunity is a fascinating aspect of cancer pathobiology with particular significance due to the emergence of immunotherapy. Advances in AI in computer vision have led to the emergence of computational pathology, where powerful Pathomics tools are being used to analyze large collections of digital whole slide images (WSIs) of cancer tissue samples. This chapter begins with an introduction to immune surveillance of cancer and immunotherapy, followed by descriptions of Pathomics applications to quantitatively evaluate and spatial map tumor-infiltrating lymphocytes (TILs) in the cancer microenvironment, and ends with a section on how spatial cancer biology can be studied by combining Pathomics with multiplex immunohistochemistry and immunofluorescence.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence in Pathology |
| Subtitle of host publication | Principles and Applications, Second Edition |
| Publisher | Elsevier |
| Pages | 309-341 |
| Number of pages | 33 |
| ISBN (Electronic) | 9780323953597 |
| ISBN (Print) | 9780323958325 |
| DOIs | |
| State | Published - Jan 1 2024 |
Keywords
- Cancer microenvironment
- Computational pathology
- Digital pathology
- Pathomics
- Tumor-infiltrating lymphocytes (TILs)
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