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作 者:陈静[1,2] 陈璐 张丽娟 边原[2,3] 谭昕[2,3] 杨勇 CHEN Jing;CHEN Lu;ZHANG Lijuan;BIAN Yuan;TAN Xin;YANG Yong(Department of Pharmacy,Guangyuan Central Hospital of Sichuan Province,Guangyuan 628099,China;Clinical Pharmacy Major,School of Medicine,University of Electronic Science and Technology of China,Chengdu 610054,China;Personalized Drug Therapy Key Laboratory of Sichuan Province,School of Medicine,University of Electronic Science and Technology of China,Chengdu 610072,China;Department of Pharmacy,Guanghan People’s Hospital of Sichuan Province,Guanghan 618300,China)
机构地区:[1]四川省广元市中心医院药学部,广元628099 [2]电子科技大学医学院临床药学,成都610054 [3]四川省医学科学院·四川省人民医院/电子科技大学附属医院药学部,个体化药物治疗四川省重点实验室,成都610072 [4]四川省广汉市人民医院药学部,广汉618300
出 处:《医药导报》2024年第8期1347-1354,共8页Herald of Medicine
摘 要:人工神经网络(ANN)是对生物神经网络的一种模拟,通过相互连接而构成的自适应非线性动态网络系统,ANN的优势在于优化容易、建模简便、结果准确。该文根据文献资料对ANN在免疫抑制剂、抗菌药物、抗癫痫药物等治疗药物监测中的应用进展进行阐述,阐明ANN模型的优缺点以及未来的发展方向,希望为未来的研究者提供有价值的参考信息。ANN用于治疗药物监测有着巨大的潜在前景,有希望成为实现患者个体化用药的有效手段。Artificial neural network(ANN)is a simulation of a biological neural network.It is an adaptive,non-linear,dynamic network system formed by interconnections.The advantages of ANN include easy optimization,simple modeling,and accurate results.This review examines the application of ANN in therapeutic drug monitoring for immunosuppressants,antibacterials,and anti-epileptic drugs.It discusses the advantages and disadvantages of the current ANN models and highlights future development directions.The aim is to provide valuable reference information for future researchers.The use of ANN for therapeutic drug monitoring shows great potential and holds promise as an effective method of personalizing patient medication.
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