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一个新的基于Tec家族的临床模型通过机器学习预测差异化甲状腺癌患者的生存率

Ziyu Luo1, Wenhan Li1, Jianhui Li1

  • 1Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.

Thyroid research
|April 30, 2025
PubMed
概括

这项研究确定TEC基因是差异化甲状腺癌 (DTC) 整体存活率的重要预测因子. 这些发现表明TEC是潜在的治疗目标,并强调需要对高风险DTC患者进行更密切的监测.

关键词:
有差异化的甲状腺癌.机器学习是机器学习.总体生存率 总体生存率这是一个很好的技术.

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