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人工智能引导的多米微生物组调制改善了耐火性IBD的临床和炎症结果:现实世界的研究
Raluca Lupusoru1,2,3, Lavinia Cristina Moleriu1, Ruxandra Mare3,4,5
1Department III, Functional Science, Discipline of Medical Informatics and Biostatistics, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
使用人工智能的个性化微生物组调制显著改善了炎症性肠病 (IBD) 症状和炎症标志物. 这种人工智能引导的方法针对肠道细菌和营养缺乏,以改善患者的治疗结果.
科学领域:
- 胃肠病学 胃肠病学
- 微生物组研究 微生物组研究
- 人工智能在医学中的应用
背景情况:
- 炎症性肠病 (IBD) 带来了管理挑战,特别是在耐火病例中.
- 肠道微生物组的改变越来越多地与IBD的持久性和炎症有关.
- 目前的治疗方法往往无法解决潜在的微生物和代谢失衡.
研究的目的:
- 评估一个为期三个月的,人工智能引导的,多原子个性化微生物组调制计划,用于治疗耐药IBD.
- 评估个性化干预对临床结果,炎症标志物和肠道微生物组成的影响.
- 为了确定个性化,多组的方法是否可以在IBD患者中实现临床上有意义的改善.
主要方法:
- 患有治疗耐药性IBD的成年人接受了为期三个月的AI引导计划.
- 数据整合包括便转基因组学,血液生物标志物和临床信息.
- 干预包括饮食改变,协生菌,抗微生物药物和微量营养素纠正.
主要成果:
- 观察到便频率,急迫性和直肠出血的显著减少.
- 超过70%的参与者报告说,整体情况有所改善.
- 在超过85%的病例中,炎症生物标志物 (hs-CRP,便calprotectin) 的明显正常化.
- 微量营养素缺乏的改善和有益细菌的显著增加 (例如,F.prausnitzii,B.longum,A.muciniphila).
结论:
- 个性化,多原子微生物组调制显示出对治疗耐火性IBD的承诺.
- 这种人工智能引导的方法有效地准了微生物,代谢和免疫失衡.
- 通过随机对照研究进行进一步验证是有必要的,以证实这些令人鼓舞的发现.
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