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Updated: Jul 19, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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在治疗过程中的风险模型用于预测晚期细胞癌中治疗反应

Melis Guer1, Andreas Janitzky2, Martin Schostak2

  • 1Clinic of Urology, Uro-Oncology, Robot-Assisted and Focal Therapy, University Hospital Magdeburg, Magdeburg, Germany. melis.guer@med.ovgu.de.

World journal of urology
|August 8, 2023
PubMed
概括

预测晚期细胞癌 (aRCC) 的治疗反应至关重要. 对C-反应蛋白 (CRP) 水平的变化和早期与治疗相关的不良事件 (TRAE) 可以帮助预测aRCC患者的瘤结果.

关键词:
晚期的细胞癌.在C-反应性蛋白质中.检查点抑制剂检查点抑制剂预测性生物标志物 预测性生物标志物与治疗相关的不良事件

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