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Updated: Jul 7, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于基因表达的机器学习模型用于肝细胞癌的诊断,预后和治疗反应预测:一项回顾性研究

Tan Thinh Nguyen1, Thanh Dat Nguyen2, Phu Qui Le Nguyen1

  • 1Faculty of Medicine, University of Health Sciences, Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam.

Journal of Yeungnam medical science
|March 6, 2026
PubMed
概括

一个新的10基因特征准确地早期检测肝细胞癌 (HCC) 并预测患者的结果. 这种机器学习模型有助于为HCC患者做出个性化治疗决策.

关键词:
早期诊断 早期诊断 早期诊断基因表达特征分析肝细胞癌是肝细胞癌.机器学习是机器学习.预测 预测 预测 预测对治疗的反应反应.

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Mouse Models of Cancer Study02:43

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...