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Updated: Jun 29, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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肺腺癌与大脑转移中的不断发展的预后范式:通过机器学习增强的基于网络的预测模型

Min Liang1, Zhiwen Zhang2, Langming Wu3

  • 1Department of Respiratory and Critical Care Medicine, Maoming People's Hospital, Maoming, China.

Discover oncology
|February 4, 2025
PubMed
概括

这项研究开发了一种XGBoost机器学习模型,用于预测脑转移的肺腺癌患者的生存率. 可访问的网络工具有助于个性化治疗决策,并改善这一患者群体的治疗结果.

关键词:
大脑转移是大脑的转移.肺部腺癌瘤是肺部腺癌.机器学习 机器学习预测 预后 预测 预测幸存的生存方式

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Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...