绘制全球药物相互作用研究的地图:通过人工智能驱动的术语标准化,实现多个世纪的进化
Andrei-Flavius Radu1,2, Ada Radu1,3, Delia Mirela Tit1,3
1Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania.
Bioengineering (Basel, Switzerland)
|July 29, 2025
概括
药物相互作用 (DDI) 的研究正在快速增长,这是由于多种药物的增加所推动的. 这项研究绘制了全球DDI研究趋势的地图,强调了对复杂药物治疗方案的临床风险管理和计算方法的转变.
科学领域:
- 药理学和制药科学 药理学和制药科学
- 圣经计量学和科学计量学
- 计算生物学 计算生物学
背景情况:
- 多种药物制造具有重大临床挑战,但对药物相互作用 (DDI) 的研究仍然有限.
- 在理解复杂的,现实世界的多药疗法方面存在差距.
- 现有的DDI研究往往忽略了系统性相互作用风险.
研究的目的:
- 对全球DDI出版物进行全面的文献计量和网络分析.
- 在DDI研究中绘制研究轨迹,知识集群和协作动态.
- 确定DDI风险评估中的不断变化的主题和未来方向.
主要方法:
- 从科学网络上对19151个DDI出版物 (1975-2025) 的图书统计和网络分析.
- 使用的是VOSviewer和Bibliometrix软件.
- 使用人工智能增强的术语规范化用于数据分析.
主要成果:
- DDI出版物的指数式增长,以美国为首,中国的贡献加快.
- 研究的主要药物包括依赖CYP450的药物 (他类药物,抗逆转录病毒药物,中枢神经系统药物).
- 研究主题从毒性发展到临床风险管理,瘤学和药理动力学.
结论:
- DDI的研究越来越多地融入了制药科学,重点是老龄化人口中的多药学.
- 新的计算方法对于评估相互作用风险至关重要.
- 未来的研究应该整合现实世界的数据,药物基因组学和人工智能,以精确剂量.
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