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Updated: Jun 26, 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

Published on: October 10, 2018

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机器学习和多omics数据揭示了肝细胞癌中基于基因的驱动分子亚型,用于精确治疗

Meng Wang1, Xinyue Yan1, Yanan Dong1

  • 1Faculty of Environment and Life of Beijing University of Technology, Beijing, China.

PLoS computational biology
|May 10, 2024
PubMed
概括

这项研究使用驱动基因识别了肝细胞癌 (HCC) 的两个分子亚型,揭示了不同的生存结果和分子特征. 这些发现为针对肝癌的向治疗铺平了道路.

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Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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