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Updated: Jun 23, 2025

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

校正:用于预测瘤ICI免疫疗法的疗效的生物标志物和计算模型

Yurong Qin^1,2, Miaozhe Huo^1,2, Xingwu Liu³

¹Department of Computer Science, City University of Hong Kong, Kowloon, China.

Frontiers in immunology

|June 19, 2024

概括

这项研究纠正了先前发表的一篇文章DOI. 校正确保了免疫学科学研究的准确引用和检索.

科学领域:

免疫学免疫学免疫学
科学出版科学出版

背景情况:

上一篇文章需要纠正.
确保科学准确性至关重要.

研究的目的:

为已发表的文章提供纠正通知.
维护科学记录的完整性.

主要方法:

文章 DOI 标识.
发布纠正通知. 发布纠正通知.

主要成果:

对于第10.3389/fimmu.2024.1368749条款的DOI已经进行了纠正.
确保科学工作的准确引用和检索.

结论:

校正通知对于科学文献至关重要.
保持准确的元数据支持研究可重复性.

关键词:

在ICI免疫疗法中使用ICI免疫疗法.生物标志物生物标志物计算模型是计算模型.预测治疗有效性的预测.瘤是一个瘤.

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Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

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Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.