Unveiling the Spatial Organization of Tumor-infiltrating Lymphocytes and Correlation to Clinical Outcomes Using Deep Learning in Er Positive Breast Cancer
Year: 2022
Type: article
Abstract: tumor-infiltrating lymphocytes (TILs) in and around tumors in digital slides from TCGA.Results: This tool is generalizable and may be further applied to other structural features, such as vasculature.This enables integration of multiple types of image features with multi-omics data to uncover potential biological pathways that are regulated in groups with dense innervation compared to sparse innervation in cancer.Conclusion: This platform-based methodology can be expanded to other disease areas and could ultimately provide valuable insight about exoneural biology and its role in disease physiology to identify new avenues for therapies.
Source: Journal of Pathology Informatics
Institution: Cygnal Therapeutics (United States)
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,400
OpenAlex ID: W4293216817