2025年内分泌高血压:人工智能和多组学如何彻底改变检测和检测
Jenyfer M Fuentes-Mendoza1, Marcio J Concepción-Zavaleta1, Jeny J Mendoza-Godoy2
1Grupo de investigación de Neurociencias, Metabolismo, Efectividad Clínica Y Sanitaria, Universidad Científica Del Sur, Lima, Peru.
Expert review of cardiovascular therapy
|February 18, 2026
概括
多组学和人工智能 (AI) 正在彻底改变内分泌高血压 (EH) 的诊断和治疗. 这些技术有望更早地检测,精确地分类,并为EH患者提供个性化的管理.
科学领域:
- 内分泌学 在内分泌学.
- 遗传学 是一个遗传学.
- 人工智能的人工智能
- 系统医学 系统医学
背景情况:
- 内分泌高血压 (EH) 是二次高血压的重要子集,具有治愈的潜力.
- 多态和人工智能的进步正在改变EH诊断和治疗方法.
- 目前的范式允许早期检测,精确的亚型和个性化治疗策略.
研究的目的:
- 审查多组学 (基因组学,转录组学,蛋白质组学,代谢组学) 与人工智能结合在EH诊断和管理中的作用.
- 突出转向分子知情临床途径和非侵入性生物标志物的转变.
- 讨论人工智能的集成用于EH亚型差异化和治疗优化.
主要方法:
- 在PubMed,Scopus和Web of Science的文献评论 (2000年7月2025年).
- 在EH中整合关于多组学数据和AI应用的证据.
- 专注于特定的EH亚型:原发性阿尔多斯特隆症,库辛综合征,甲状腺细胞瘤/甲状腺瘤和与甲状腺相关的高血压.
主要成果:
- 多种和人工智能的诊断准确度与概念验证研究中的侵入性测试相当.
- 显而易见的是,人们正在转向分子知情的临床途径,非侵入性生物标志物和预测算法.
- 人工智能在各种EH条件下促进亚型分化和治疗优化.
结论:
- 多元经济学和人工智能的融合正在为EH护理带来一个变革的时代.
- 将其转化为常规实践面临诸多挑战,包括基础设施不平等和数据协调.
- 未来的方向包括联合数据系统,纵向多原子集成,以及人类-人工智能合作,以实现动态,个性化的EH管理.
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