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Updated: Jan 18, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

修正:用于瘤免疫治疗的自适应动态e模拟回火算法

Xiaoyan Sun^1,2, Ying Jiang²

¹Department of Gynaecology, The People's Hospital of Liaoning Province, Shenyang, China.

Frontiers in immunology

|September 10, 2025

概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保了适当的引用和对研究结果的访问,以便在未来进行科学调查.

科学领域:

这项研究属于免疫学和科学出版标准领域.

背景情况:

之前的一篇文章包含了一个错误的文章DOI.
准确的DOI对于科学文献的可追溯性和引用至关重要.

研究的目的:

纠正特定科学文章的数字物体标识符 (DOI).
确保发表的研究的完整性和可访问性.

主要方法:

发出了一份正式的纠正通知.
错误的DOI被确定并用正确的DOI取代.

主要成果:

文章DOI已经正式纠正.
这确保了研究的准确引用和检索.

结论:

校正有助于正确引用和获取科学作品.
保持科学记录的准确性对研究界至关重要.

关键词:

适应式动态 ε模拟回火算法 (ADεSA)化学疗法和免疫疗法.治疗策略治疗策略瘤细胞就是瘤细胞.瘤免疫疗法 (TIT) 的使用

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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.