王真真;刘爽;李江玲;王晓芳;王爱婷;邓科君;林昊;鄢丹;
WANG Zhen-zhen;LIU Shuang;LI Jiang-ling;WANG Xiao-fang;WANG Ai-ting;DENG Ke-jun;LIN Hao;YAN Dan;School of Traditional Chinese Medicine, Shenyang Pharmaceutical University;Beijing Friendship Hospital, Capital Medical University;Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Rational Drug Use;School of Pharmacy, Chengdu University of Traditional Chinese Medicine;Beijing Shijitan Hospital, Capital Medical University;Center for Informational Biology, University of Electroni

• 1:沈阳药科大学中药学院
• 2:首都医科大学附属北京友谊医院
• 3:临床合理用药生物特征谱学评价北京市重点实验室
• 4:成都中医药大学药学院

摘要(Abstract)：

联合用药是临床常见现象,但囿于体现其临床特点的合理性评价薄弱而制约了临床联合用药的科学实施。突破现有评价手段局限,笔者提出从物理、化学、生物角度,审视药物之间、药物与靶点之间作用特征,结合临床多中心病例资源、国内外药物相互作用公共资源,发掘联合用药共性规律,采用机器学习技术,构建基于"药物特性-资源库信息-人工智能"策略的临床联合用药合理性评价与预测系统,并在多中心临床实践中调试验证,以期为临床用药的安全性与有效性提供新的思路与技术参考。
Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.

关键词(KeyWords)： 联合用药;合理性评价;序贯分析;机器学习
drug combination;rationality evaluation;sequential analysis;machine learning

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(81773891);; 国家“重大新药创制”科技重大专项(2017ZX09301-040);; 北京市自然科学基金项目(7204272)

作者(Authors): 王真真;刘爽;李江玲;王晓芳;王爱婷;邓科君;林昊;鄢丹;
WANG Zhen-zhen;LIU Shuang;LI Jiang-ling;WANG Xiao-fang;WANG Ai-ting;DENG Ke-jun;LIN Hao;YAN Dan;School of Traditional Chinese Medicine, Shenyang Pharmaceutical University;Beijing Friendship Hospital, Capital Medical University;Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Rational Drug Use;School of Pharmacy, Chengdu University of Traditional Chinese Medicine;Beijing Shijitan Hospital, Capital Medical University;Center for Informational Biology, University of Electroni

DOI: 10.19540/j.cnki.cjcmm.20210315.601

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