腹膜透析废水生物标志物从多种经济学和人工智能角度:进步和挑战
Hong Li1, Fang Yu1,2, Xiaoyue Wang1
1Department of Nephrology, Daping Hospital, Army Medical Center, Army Medical University, Yuzhong District, Chongqing, China.
Clinical kidney journal
|February 13, 2026
概括
在腹腔透析 (PD) 患者中,需要验证的早期生物标志物. 人工智能 (AI) 和PD废水的多omics分析显示出开发新型生物标志物的前景,以改善患者的预后.
科学领域:
- 生物标志物发现发现
- 人工智能在医学中的应用
- 腹膜透析研究 腹膜透析研究
背景情况:
- 长期腹膜透析 (PD) 可以导致腹膜结构和功能损伤,导致PD衰竭.
- 目前,对于PD患者缺乏验证的早期生物标志物.
- 腹腔透析废水 (PDE) 含有用于非侵入性生物标志物开发的有价值的生物成分.
研究的目的:
- 审查使用基于人工智能的多omics方法开发PD生物标志物的最新进展.
- 突出基于人工智能的多omics应用在早期PD诊断,伤害评估,功能评估和预后预测中.
- 讨论PDE生物标志物开发中的挑战和局限性.
主要方法:
- 对PD生物标志物研究中组织学技术和人工智能的最新研究进行审查.
- 专注于基于人工智能的PDE多omics分析.
- 从核酸,蛋白质和代谢物中整合数据.
主要成果:
- 基于AI的多omics分析增强了对PD相关纤维化的理解.
- 这种方法有助于识别新的生物标志物和治疗点.
- 人工智能有助于早期诊断,腹损伤评估,功能评估和预后预测.
结论:
- 以人工智能为基础的多omics分析显示了开发PDE生物标志物的巨大潜力.
- 这些生物标志物有望改善PD患者的预后.
- 这些发现支持PD精准医学的进步.
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