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Updated: Jan 29, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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Published on: October 10, 2018

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开发一种机器学习模型,用于预测与子宫内膜癌向治疗相关的蛋白质的表达

Chenwen Sun1, Qianling Li2, Yanan Huang1

  • 1Department of Radiology, Shaoxing People's Hospital, Shaoxing, China.

Frontiers in oncology
|January 28, 2026
PubMed
概括

整合MRI放射学和临床病理学数据的机器学习模型可以预测子宫内膜癌 (EC) 中的关键蛋白质表达. 这有助于为EC患者做出个性化辅助治疗决策.

关键词:
这就是PIK3的意义.这是一个Pten Pten.宫内膜癌 (Endometrial Carcinoma) 是一个体内膜癌.在mTOROR中使用mTOR.机器学习是机器学习.有针对性的治疗.

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