Pharmacometric methods have hugely benefited from progress in analytical and computer
sciences during the past decades, and play nowadays a central role in the clinical …

Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model‐
informed precision dosing support based on an individual's genomic and physiologic …

Background Model-informed precision dosing (MIPD) can serve as a powerful tool during
therapeutic drug monitoring (TDM) to help individualize dosing in populations with large …

Methotrexate (MTX), an antifolate, is administered at high doses to treat malignancies in
children and adults. However, there is considerable interpatient variability in clearance of …

Background Little is known about the population pharmacokinetics (PPK) of tacrolimus
(TAC) in pediatric patients with primary nephrotic syndrome (PNS). In this study, we aimed to …

Monoclonal antibody (mAb) therapy does not usually lead to a clinical response in all
patients and resistance may increase over time after repeated mAb administration. This lack …

Advances in both computing power and novel Bayesian inference algorithms have enabled
Bayesian Networks (BN) to be applied for decision-support in healthcare and other domains …

Background The area under the concentration‐time curve over 24 hours (AUC24) is
frequently utilized to monitor tobramycin exposure in children with cystic fibrosis (CF). An …

最大后验贝叶斯法(MAPB) 在个体化给药中的作用日益受到重视. 该法通过已知的目标人群的
群体药动学(PPK) 特征, 结合治疗药物监测(TDM) 结果, 可准确地估算患者个体药动学(PK) 参数 …

Aim Several studies have reported population pharmacokinetic models for phenobarbital
(PB), but the predictive performance of these models has not been well documented. This …