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人工智能预测免疫疗法的疗效和毒性:应用,挑战和未来方向

Qiang Wen¹, Liang Qiu², Chenhui Qiu²

¹Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, 250021, China.

|June 18, 2025

概括

人工智能 (AI) 可以预测免疫检查点抑制剂 (ICI) 在癌症治疗中的有效性. 这篇评论探讨了人工智能.

科学领域:

在瘤学瘤学.
人工智能的人工智能
免疫治疗是一种免疫疗法.

背景情况:

免疫检查点抑制剂 (ICI) 是现代癌症治疗的基石.
预测ICI疗效对于个性化癌症治疗至关重要.
人工智能 (AI) 为分析复杂的临床数据提供了先进的功能.

研究的目的:

系统地审查AI在预测ICI疗效方面的应用.
突出AI在精密瘤学改进方面的潜力.
讨论AI在免疫治疗中的挑战和未来方向.

主要方法:

对应用人工智能来预测ICI反应的研究进行系统审查.
使用放射学,基因组学和病理学数据分析AI模型.
对人工智能驱动的免疫疗法疗效预测的当前研究的综合.

主要成果:

人工智能在开发ICI有效性的预测模型方面显示出显著的潜力.
多模式数据 (放射学,基因组学,病理学) 的整合增强了AI的预测能力.
人工智能有助于在瘤学中制定更精确的治疗策略.

结论:

人工智能是预测免疫检查点抑制剂有效性的变革性工具.
需要进一步的研究,以克服挑战,并优化AI在免疫治疗中的应用.
人工智能集成有望在癌症护理中推进精准医学.

关键词:

人工智能的人工智能是人工智能.生物标志物生物标志物临床结果临床结果有效性预测的预测.免疫治疗是一种免疫疗法.

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Tumor Immunotherapy

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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.