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Updated: Jun 11, 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

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新的机器学习技术进一步澄清了与无关的供体选择,以优化移植结果

Stephen R Spellman1, Rodney Sparapani2, Martin Maiers1

  • 1Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN.

Blood advances
|October 5, 2024
PubMed
概括

捐赠者的年龄和性别对异质造血细胞移植 (HCT) 的结果产生影响. 建议年轻的捐赠者 (18-30岁) 获得更好的整体存活率,而男性捐赠者可以改善无事件存活率.

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