TILseg: Automated Whole Slide-Level Spatial Scoring of Tumor-Infiltrating Lymphocytes Reveals Prognostic Patterns in

Lisa L Carr1, Abishek Sankaranarayanan1, Khanh Ha1

  • 1Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.

Summary

An AI tool for analyzing stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative breast cancer (TNBC) offers reproducible and accurate prognostication. This digital pathology approach improves patient risk stratification for better therapeutic outcomes.

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