向分子测量和基于人工智能的评估与炎症性肠病的临床终点集成
Walter Reinisch1, Jens Rittscher2, Marietta Iacucci3
1Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Gastroenterology
|February 10, 2026
概括
将分子见解集成到临床实践中可以增强炎症性肠病 (IBD) 管理. 细胞和分子标记物为IBD患者的长期结果和治疗反应提供了预测价值.
科学领域:
- 胃肠道学和免疫学
- 翻译医学是一种翻译医学.
- 计算生物学 计算生物学
背景情况:
- 炎症性肠病 (IBD) 的多模式分析揭示了详细的疾病谱和严重程度的相关性.
- 目前在IBD的临床措施缺乏细粒度在评估疾病状态和治疗反应.
- 缓解和愈合的细胞和分子标记对长期IBD结果具有预测价值.
研究的目的:
- 概述一个实现分子疾病描述者的途径,作为IBD的临床治疗目标.
- 专注于炎症,缓解,愈合和治疗反应的细胞/分子测量.
- 用药理学模块和解决途径指导新型和现有疗法的评估.
主要方法:
- 分析多模式患者数据 (组织和血液样本).
- 关注疾病严重程度和结果的细胞和分子相关性.
- 开发人工智能辅助的数据分析和解释工具.
主要成果:
- 编制IBD疾病严重程度和结果的细胞和分子相关物.
- 确定有前途的分子疾病描述因子,用于临床实施.
- 证明在临床测量和治疗反应评估中提高细粒度的潜力.
结论:
- 实施分子措施可以改善IBD临床评估和治疗反应评估.
- 细胞/分子缓解和愈合标记可以预测IBD的长期结果.
- 人工智能辅助工具对于推进IBD分子诊断至关重要,提高可复制性,成本效益和检测速度.
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