Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome
BackgroundHead and neck squamous cell carcinoma (HNSCC), an extremely aggressive tumor, is often associated with poor outcomes. The standard anatomy-based tumor-node-metastasis staging system does not satisfy the requirements for screening treatment-sensitive patients. Thus, an ideal biomarker leadi...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2024-04-01T00:00:00Z.
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A1234.567 |
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