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Integrating Immune Multi-Omics and Machine Learning to Improve Prognosis, Immune Landscape, and Sensitivity to First- and Second-Line Treatments for Head and Neck Squamous Cell Carcinoma

2024-07-26

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. <bold>Methods: </bold>In this study, we first comb...

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Literature Corpus work
54f4fea6-d6ee-5aa6-b274-76b4507ff0bc
DOI
10.21203/rs.3.rs-4659367/v1
Open publication

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Integrating Immune Multi-Omics and Machine Learning to Improve Prognosis, Immune Landscape, and Sensitivity to First- and Second-Line Treatments for Head and Neck Squamous Cell CarcinomaDOI 10.21203/rs.3.rs-4659367/v1
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