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

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1493377/full

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