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Updated: Feb 23, 2026

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探索基于便蛋白质学和机器学习的中间结肠直肠癌查测试,以优化从FIT中识别的结肠镜患者的选择

David Gagné1, Elmira Shajari1, Mandy Malick2

  • 1Laboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada; Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.

Molecular & cellular proteomics : MCP
|February 21, 2026
PubMed
概括

将剩余的便免疫化学试验 (FIT) 样本重新用于蛋白质组学分析,可以有效地对患者进行分类. 这种方法可以识别假阳性,减少不必要的结肠镜检查,并优先考虑结肠直肠癌 (CRC) 病例.

关键词:
大肠直肠癌查检查便免疫化学试验一个错误的阳性假阳性.蛋白质组学 蛋白质组学

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