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Updated: Jan 8, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

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LAC-TME分类器:基于机器学习的模型预测了清细胞脏细胞癌的生存率并优先考虑了向治疗

Jiawei He1, Lin Qi1, Yi Cai1

  • 1Department of Urology, Disorders of Prostate Cancer Multidisciplinary Team, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.

Journal of cancer research and clinical oncology
|December 16, 2025
PubMed
概括

一个新的机器学习模型,LAC-TME分类器,通过分析乳酸水平和瘤微环境 (TME) 来预测清细胞细胞癌 (ccRCC) 的结果. 这个工具有助于个性化治疗癌患者.

关键词:
清细胞脏细胞癌.在LGALS1中乳酸盐是一种乳酸盐.机器学习是机器学习.瘤微环境是一个微环境.

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