从多omics到预测生物标志物:瘤微环境中的AI
Luo Hai1,2, Ziming Jiang3, Haoxuan Zhang3
1Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Frontiers in immunology
|January 7, 2025
概括
人工智能 (AI) 通过分析瘤微环境 (TME) 和细胞差异来帮助瘤代谢研究. 这种方法提高了对癌症的理解.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 人工智能在医学中的应用
背景情况:
- 瘤是一个重大的全球健康挑战.
- 瘤微环境 (TME) 极大地影响瘤的进展和细胞命运.
- 最近的AI进步,特别是大型语言模型,正在改变医学研究.
研究的目的:
- 审查AI算法在瘤代谢研究中的应用.
- 使用人工智能探索瘤和正常细胞之间的表达差异.
- 检查AI在理解TME相互作用和癌症中细胞因子功能的作用.
主要方法:
- 对代谢学数据的分析.
- 研究瘤微环境 (TME) 相互作用.
- 应用人工智能 (AI) 算法,包括大型语言模型.
- 对癌症代谢中的AI现有文献的审查.
主要成果:
- 人工智能算法可以识别和分析瘤和正常细胞之间的表达差异.
- 人工智能有助于研究瘤微环境 (TME) 中的代谢途径.
- 人工智能为细胞因子在瘤进展中的作用提供了洞察力.
结论:
- 人工智能为推进瘤代谢研究提供了强大的工具.
- 人工智能驱动的代谢和TME相互作用的分析加深了对癌症病理学的理解.
- 这篇评论强调了人工智能通过阐明瘤机制来发现新的治疗策略的潜力.
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