Bridging the worlds of pharmacometrics and machine learning

K Stankevičiūtė, JB Woillard, RW Peck… - Clinical …, 2023 - Springer
Precision medicine requires individualized modeling of disease and drug dynamics, with
machine learning-based computational techniques gaining increasing popularity. The …

How to handle the delayed or missed dose of rivaroxaban in patients with non-valvular atrial fibrillation: model-informed remedial dosing

XQ Liu, YW Yin, CY Wang, ZR Li, X Zhu… - Expert Review of …, 2021 - Taylor & Francis
Background Rivaroxaban is an oral anticoagulant widely used for stroke prevention in
patients with non-valvular atrial fibrillation (NVAF). During long-term anticoagulant therapy …

[HTML][HTML] Escitalopram population pharmacokinetics and remedial strategies based on CYP2C19 phenotype

X Liu, G Ju, X Huang, W Yang, L Chen, C Li… - Journal of Affective …, 2024 - Elsevier
Background and purpose CYP2C19 is a key factor influencing escitalopram (SCIT)
exposure. However, different studies reported various results. This study aims to develop a …

How drug onset rate and duration of action affect drug forgiveness

ED Clark, SD Lawley - Journal of Pharmacokinetics and …, 2024 - Springer
Medication nonadherence is one of the largest problems in healthcare today, particularly for
patients undergoing long-term pharmacotherapy. To combat nonadherence, it is often …

Remedial dosing recommendations for delayed or missed doses of valproic acid in patients with epilepsy based on Monte Carlo simulations

C Wang, Z Jiao, J Ding, E Yu, G Zhu - Epilepsy & Behavior, 2020 - Elsevier
Objective Delayed or missed doses are unavoidable in the pharmacotherapy of epilepsy
and significantly compromise the efficacy of antiepileptic drug treatment. An inappropriate …

A pharmacokinetic and pharmacodynamic analysis of drug forgiveness

NP McAllister, SD Lawley - Journal of Pharmacokinetics and …, 2022 - Springer
Nonadherence to medication is a major public health problem. To combat nonadherence,
some clinicians have suggested using “forgiving” drugs, which maintain efficacy in spite of …

Handling delayed or missed dose of antiseizure medications: a model-informed individual remedial dosing

Z Li, C Wang, W Lin, Y Chen, X Liu, Z Jiao - Neurology, 2023 - AAN Enterprises
Background and Objectives Delayed or missed antiseizure medications (ASMs) doses are
common during long-term or lifelong antiepilepsy treatment. This study aims to explore …

Effect of nonadherence on levetiracetam pharmacokinetics and remedial dose recommendations using Monte Carlo simulations

J Methaneethorn - European Journal of Drug Metabolism and …, 2022 - Springer
Abstract Background and Objective Nonadherence to levetiracetam (LEV) use can result in
subtherapeutic concentrations and increase the risk of the occurrence of seizures. The …

Designing drug regimens that mitigate nonadherence

ED Counterman, SD Lawley - Bulletin of Mathematical Biology, 2022 - Springer
Medication adherence is a well-known problem for pharmaceutical treatment of chronic
diseases. Understanding how nonadherence affects treatment efficacy is made difficult by …

What should patients do if they miss a dose of medication? A theoretical approach

ED Counterman, SD Lawley - Journal of Pharmacokinetics and …, 2021 - Springer
Medication adherence is a major problem for patients with chronic diseases that require
long term pharmacotherapy. Many unanswered questions surround adherence, including …