万古霉素
贝叶斯概率
计算机科学
医学
加药
治疗药物监测
贝叶斯推理
采样(信号处理)
贝叶斯定理
贝叶斯统计
数据挖掘
统计
人工智能
医学诊断
机器学习
贝叶斯网络
贝叶斯估计量
样品(材料)
作者
Anne Ravix,Yann Thoma,Annie Cathignol,Paul Thoueille,Catia Marzolini,Éric Giannoni,Thierry Buclin,Chantal Csajka,Kim Dao,Monia Guidi
出处
期刊:PubMed
[National Institutes of Health]
日期:2026-05-02
标识
DOI:10.1007/s40262-026-01642-4
摘要
BACKGROUND AND OBJECTIVES: ) is often used as a surrogate. This virtual TDM study aimed to evaluate the performance of Bayesian model-informed precision dosing (MIPD) for vancomycin in neonates. METHODS: with the reference value. RESULTS: prediction. CONCLUSION: This virtual TDM study indicates that Bayesian MIPD optimizes vancomycin exposure in neonates, while simplifying the sampling strategy. This approach deserves to be integrated and validated in routine neonatal care.
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