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

Journal: Frontiers in immunology
PMID: 39691710

Abstract

INTRODUCTION: Early 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.

Authors

  • Yilan Sun
    Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Guozhen Cheng
    College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Dongliang Wei
    Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jiacheng Luo
    College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.
  • Jiannan Liu
    Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

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