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Updated: Jun 9, 2025

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
05:45

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Published on: July 31, 2017

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开发一个基于网络的工具,用临床,mRNA和瘤微环境特征与融合技术来估计质母细胞瘤的个性化生存曲线

Zunlan Zhao1, Yujie Shi2, Shouhang Chen3

  • 1Department of General Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
|October 30, 2024
PubMed
概括

这项研究开发了机器学习模型,使用临床,RNA和瘤微环境数据来预测质母细胞瘤生存率. 这些模型提供了更好的预后准确性和个性化生存预测的网络工具.

关键词:
质母细胞瘤 (glioblastoma) 是一个机器学习是机器学习.模型融合 模型融合模型预测模型是一个预测模型.幸存率曲线是指生存率曲线.瘤微环境是一个微环境.

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