Introduction: Despite a significant proportion (20 to 40%)[1] of advanced cancer patients having long-term response to treatment with immune checkpoint inhibitors…
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Using machine learning to predict longitudinal platelet counts: a methodology framework
Introduction: Conventional exposure-response (ER) models have been employed to model the dynamics of platelet changes during patient treatment, providing insights…
Read moreUnderdosing imipenem in patients with renal insufficiency: global clinical data-driven pharmacokinetic/pharmacodynamic study
Objectives: Currently, population pharmacokinetic (popPK) models for imipenem in critically ill patients are available. However, they lack a good representation of…
Read morePopulation pharmacokinetic Models of regular SC insulin for hyperglycemia following acute ischemic stroke among patients with and without pre-existing diabetes mellitus
Introduction/Objectives: Regardless of pre-stroke diabetes status, patients admitted to the hospital for acute ischemic stroke (AIS) are frequently observed to…
Read moreTotal and unbound flucloxacillin population pharmacokinetics in patients with Staphylococcus aureus bloodstream infection
Objectives: Target attainment of flucloxacillin in patients with Staphylococcus aureus bloodstream infections (BSI) is challenging due to the high inter-individual…
Read moreDevelopment of a gestational Physiologically Based Kinetic model to predict rat dam and fetus exposure in PK-Sim/MoBi
Introduction/Objectives: The Open Systems Pharmacology (OSP) Suite, with its two mechanistic modeling and simulation software solutions PK-Sim® and MoBi®, as…
Read moreMachine Learning algorithms for concentration prediction in anticancer drug therapy: Towards a method for individual dose adjustment
Introduction: In oncology, under- or overdosing often occurs due to the administration of drug doses not taking into account the…
Read moreModelling & simulation of biomarkers during anti-HIV monotherapy treatment
Introduction: Since its first discovery, the human immunodeficiency virus (HIV) has infected more than 70M people worldwide and 35M have died….
Read moreAutomating Population Pharmacokinetic Model Development using Machine Learning
Population pharmacokinetic (popPK) models are used in decision-making throughout drug development to inform dose selection, clinical study design, and labelling…
Read moreComparative assessment of incretin therapies on weight loss through a model-based meta-analysis approach
Objectives: This Model-Based Meta-Analysis (MBMA) aimed to develop a comparator model that provides a quantitative framework for the comparison of…
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