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Updated: Jan 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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MarkerPredict:通过机器学习预测临床相关的预测生物标志物

Daniel V Veres1,2, Peter Csermely1, Klára Schulc3,4

  • 1Department of Molecular Biology, Semmelweis University, Budapest, Hungary.

NPJ systems biology and applications
|November 21, 2025
PubMed
概括

本研究介绍了MarkerPredict,该工具使用蛋白质网络和疾病数据来识别针对性癌症治疗的潜在预测生物标志物. 它成功地确定了成千上万种潜在的生物标志物,有助于精确瘤学.

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相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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