Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers

Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers

IntroductionEarly detection of oral squamous cell carcinoma (OSCC) is critical for improving clinical outcomes. Precision diagnostics integrating metabolomics and machine learning offer promising non-invasive solutions for identifying tumor-derived biomarkers.MethodsWe analyzed a multicenter public...

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Bibliographic Details
Main Authors:	Yilan Sun, Guozhen Cheng, Dongliang Wei, Jiacheng Luo, Jiannan Liu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Series:	Frontiers in Immunology
Subjects:	machine learning oral squamous cell carcinoma precision metabolomics feature selection personalized therapy
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1493377/full
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