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Updated: Jul 15, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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对HepatoPredict套件的分析验证和算法改进,以评估肝细胞癌在肝移植之前的预后

Maria Gonçalves-Reis1, Daniela Proença1, Laura P Frazão1

  • 1Ophiomics - Precision Medicine, Lisbon, Portugal.

Practical laboratory medicine
|February 19, 2024
PubMed
概括

该HepatoPredict套件准确地识别了可能从肝移植 (LT) 中受益的肝细胞癌 (HCC) 患者. 它强大的分析性能确保了移植后复发的可靠风险分层,有助于临床决策.

关键词:
分析验证 分析验证肝炎预测 肝炎预测肝细胞癌是肝细胞癌.肝脏移植 肝脏移植多目标基因组测定.预测预测预测预测的时间.

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In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess the...