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Updated: Jun 5, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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新型机器学习模型用于预测癌症药物的敏感性和发现新型治疗方法

Xiaowen Cao1, Li Xing2, Hao Ding3

  • 1School of Artificial Intelligence, Hebei University of Technology, Tianjin, China; Department of Mathematics and Statistics, University of Victoria, Victoria, Canada.

Journal of biomedical informatics
|December 14, 2024
PubMed
概括

用基因组数据预测抗癌药物反应,优于其他方法. 这种方法可以识别关键基因和用于个性化癌症治疗的新疗法.

关键词:
癌症治疗 治疗 癌症治疗组合疗法是一种联合疗法.药物易感性 药物易感性功能丰富的功能丰富.机器学习是机器学习.多任务预测多任务预测通过PI3K-Akt路径.

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