在瘤学中进行免疫分析:弥合技术与治疗之间的差距
Nanthini Ravi1, Gee Jun Tye1,2, Satvinder Singh Dhaliwal1,3,4
1Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Minden, 11800, Penang, Malaysia.
Medical oncology (Northwood, London, England)
|August 26, 2025
概括
像CyTOF和scRNA-seq这样的先进免疫分析技术正在通过揭示瘤免疫相互作用来彻底改变瘤学. 人工智能整合进一步增强了这些工具,改善了癌症诊断和治疗策略.
科学领域:
- 癌症学
- 免疫学
- 生物信息学
背景情况:
- 免疫分析对于理解瘤与免疫之间的相互作用和推进精确瘤学至关重要.
- 最近的技术突破显著改善了免疫异质性和治疗反应预测的特征.
研究的目的:
- 审查瘤学中免疫分析技术的演变和整合.
- 讨论人工智能 (AI) 在分析临床决策中的多种数据方面的作用.
- 确定癌症护理免疫分析的挑战和未来方向.
主要方法:
- 质量细胞计 (CyTOF)
- 单细胞RNA测序 (scRNA-seq)
- 空间转录学
- 液体活检
- 在人工智能 (AI) 驱动下实现多经济一体化
主要成果:
- 增强免疫异质性的特征和治疗反应的预测.
- 确定新的生物标志物,治疗点和耐药性机制.
- 人工智能模型通过预测洞察力弥合了研究和临床实践之间的差距.
结论:
- 免疫分析技术正在改变癌症诊断,治疗选择和监测.
- 综合先进技术,生物信息学和临床框架使得个性化,数据驱动的癌症护理成为可能.
- 解决成本,吞吐量和标准化的挑战是更广泛的临床采用的关键.
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