Global Thyroid Cancer Patterns and Predictive Analytics: Integrating Machine Learning for Advanced Diagnostic Modelling.

Journal: Journal of cellular and molecular medicine
Published Date: Jul 1, 2025

Abstract

BACKGROUND: The global increase in thyroid cancer prevalence, particularly among female populations, underscores critical gaps in our understanding of molecular pathogenesis and diagnostic capabilities. Our investigation addresses these knowledge deficits by examining molecular signatures and validating diagnostic markers using clinical specimens to facilitate earlier detection and targeted therapeutic development.

Authors

  • Yao Sun
    School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
  • Yongsheng Jia
    Department of Thyroid and Neck Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Kuan Fu
    Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Xiaoyong Yang
    Department of Thyroid and Neck Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Peiguo Wang
    Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Zhiyong Yuan
    School of Computer Science, Wuhan University, Wuhan, 430072, China.

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