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Updated: Jan 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的预测模型,用于使用真实世界的数据来预测患有肝病的成年人中的提科普拉宁度

Fengbi Jian1, Xiaodong Chen1, Ming Wang1

  • 1Department of Pharmacy, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.

Frontiers in pharmacology
|December 22, 2025
PubMed
概括

机器学习准确地预测了肝脏疾病患者的提科普拉宁 (TEIC) 度. 这个工具有助于优化TEIC剂量以获得更好的治疗结果.

关键词:
肝脏疾病是一种肝脏疾病.机器学习是机器学习.血中的度是血中的度.泰科普拉尼尼 泰科普拉尼尼治疗药物监测 治疗药物监测

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