Prediction and analysis of tumor infiltrating lymphocytes across 28 cancers by TILScout using deep learning
Abstract The density of tumor-infiltrating lymphocytes (TILs) serves as a valuable indicator for predicting anti-tumor responses, but its broad impact across various types of cancers remains underexplored. We introduce TILScout, a pan-cancer deep-learning approach to compute patch-level TIL scores f...
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| Main Authors: | Huibo Zhang, Lulu Chen, Lan Li, Yang Liu, Barnali Das, Shuang Zhai, Juan Tan, Yan Jiang, Simona Turco, Yi Yao, Dmitrij Frishman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00866-0 |
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