Abstracts

Physiologically based pharmacokinetic modelling of the impact of hepatic impairment on glucuronidation – a case study with midazolam.

Thursday 16 October, 2025

Introduction: Hepatic impairment may be associated with a reduced rate of drug metabolism. In particular, it has been demonstrated that…

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PBPK modeling based clinical dose adaptation in liver cirrhosis patients for seven CYP and UGT enzyme substrates

Thursday 16 October, 2025

Introduction: In patients with impaired liver function, understanding the pharmacokinetics (PK) is crucial for effective and safe medication management. Liver…

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Population Pharmacokinetics of Intermittent Vancomycin in Cystic Fibrosis Patients

Thursday 16 October, 2025

Objectives:  Introduction: Methicillin-resistant staphylococcus aureus (MRSA) infections are one of the leading causes of pulmonary exacerbations (PEx) in persons with…

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A physiologically-based pharmacokinetic model for prediction of cannabidiol pediatric dose

Thursday 16 October, 2025

Objectives: To develop a PBPK model for CBD to predict age-dependent pediatric dosage regimens by modifying a previously PBPK model…

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Development of a physiologically-based pharmacokinetic model to understand and predict the disposition of gallium-68 radiolabeled-dendrimers in vivo

Thursday 16 October, 2025

Introduction/Objectives: In the past twenty years, numerous diverse nanoparticles (NPs) have been designed in order to improve the pharmacokinetic (PK) profile…

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Population pharmacokinetics of belantamab mafodotin in relapsed or refractory multiple myeloma patients with severe renal impairment

Thursday 16 October, 2025

Objectives:  Belantamab mafodotin is an antibody-drug conjugate (ADC) consisting of an afucosylated humanized anti-B‐cell maturation antigen (BCMA) monoclonal antibody (mAb)…

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Predicting individual disease progression including parameter uncertainty in rare neurodegenerative diseases: the example of Autosomal-Recessive Spastic Ataxia Charlevoix Saguenay (ARSACS)

Thursday 16 October, 2025

Objectives:  Genetic cerebellar ataxias are ultra-rare progressive neurological diseases (RNDs) affecting the cerebellum, often with multisystemic damage to other neurological…

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Evaluation of treatment effects in genetic ataxias using SARA score modelling: comparison of multiple trial designs by a large trial simulation framework

Thursday 16 October, 2025

Objectives:  Genetic cerebellar ataxias are progressive rare neurological diseases affecting the cerebellum, often with multi-systemic damage to other neurological systems,…

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mlcov: New Machine Learning Based R package for Covariate Selection

Thursday 16 October, 2025

Introduction In the last few years, several alternatives have been proposed to address the weaknesses of the most widely used…

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Evaluation of the Boruta Machine Learning Algorithm for Covariate Selection

Thursday 16 October, 2025

Introduction Stepwise covariate modeling methodology (SCM) [1] is one of the most used approaches in covariate selection. Despite its use,…

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