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Updated: Aug 13, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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从基因病理学图像预测癌症治疗反应,通过假定的转录学

Danh-Tai Hoang1, Gal Dinstag2, Leandro C Hermida3,4

  • 1Biological Data Science Institute, College of Science, Australian National University, Canberra, ACT, Australia.

Research square
|October 4, 2023
PubMed
概括

ENLIGHT-DeepPT使用人工智能从标准的H&E染色幻灯片预测患者对癌症治疗的反应. 这种新的方法通过识别有效的治疗方法而提高精确瘤学,而不需要先前的治疗数据.

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相关概念视频

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...