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PBPK modeling of ivermectin—Considerations for the purpose of developing alternative routes to optimize its safety profile

CPT: pharmacometrics and systems pharmacology, 2023-05, Vol.12 (5), p.598-609

2023

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Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations

CPT: pharmacometrics and systems pharmacology, 2022-03, Vol.11 (3), p.373-383

2022

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Addressing drug safety of maternal therapy during breastfeeding using physiologically‐based pharmacokinetic modeling

CPT: pharmacometrics and systems pharmacology, 2022-05, Vol.11 (5), p.535-539

2022

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Physiologically‐Based Pharmacokinetic Models as Enablers of Precision Dosing in Drug Development: Pivotal Role of the Human Mass Balance Study

Clinical pharmacology and therapeutics, 2021-01, Vol.109 (1), p.51-54

2021

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Prediction of CYP‐mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator

CPT: pharmacometrics and systems pharmacology, 2022-07, Vol.11 (7), p.822-832

2022

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Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan

CPT: pharmacometrics and systems pharmacology, 2020-02, Vol.9 (2), p.106-114

2020

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Using physiologically‐based pharmacokinetic modeling for predicting the effects of hepatic impairment on the pharmacokinetics of olanzapine and samidorphan given as a combination tablet

CPT: pharmacometrics and systems pharmacology, 2021-09, Vol.10 (9), p.1071-1080

2021

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Physiologically Based Pharmacokinetic Modelling to Predict Imatinib Exposures in Cancer Patients with Renal Dysfunction: A Case Study

Pharmaceutics, 2023-07, Vol.15 (7), p.1922

2023

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A best practice framework for applying physiologically‐based pharmacokinetic modeling to pediatric drug development

CPT: pharmacometrics and systems pharmacology, 2021-09, Vol.10 (9), p.967-972

2021

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Advancing the utilization of real‐world data and real‐world evidence in clinical pharmacology and translational research—Proceedings from the ASCPT 2023 preconference workshop

Clinical and translational science, 2024-04, Vol.17 (4), p.e13785-n/a

2024

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Prediction of drug clearance in a smoking population: modeling the impact of variable cigarette consumption on the induction of CYP1A2

European journal of clinical pharmacology, 2012-06, Vol.68 (6), p.951-960

2012

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Physiologically Based Pharmacokinetic Modeling to Determine the Impact of CYP2B6 Genotype on Efavirenz Exposure in Children, Mothers and Breastfeeding Infants

Clinical pharmacology and therapeutics, 2023-07, Vol.114 (1), p.182-191

2023

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Assessment of algorithms for predicting drug–drug interactions via inhibition mechanisms: comparison of dynamic and static models

British journal of clinical pharmacology, 2011-01, Vol.71 (1), p.72-87

2011

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Development and application of a PBPK modeling strategy to support antimalarial drug development

CPT: pharmacometrics and systems pharmacology, 2023-09, Vol.12 (9), p.1335-1346

2023

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Model‐Informed Drug Development for Anti‐Infectives: State of the Art and Future

Clinical pharmacology and therapeutics, 2021-04, Vol.109 (4), p.867-891

2021

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Dose Optimization Informed by PBPK Modeling: State-of-the Art and Future

Clinical pharmacology and therapeutics, 2024-04

2024

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Another Step Toward Qualification of Pediatric Physiologically Based Pharmacokinetic Models to Facilitate Inclusivity and Diversity in Pediatric Clinical Studies

Clinical pharmacology and therapeutics, 2023-03, Vol.113 (3), p.735-745

2023

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Application of Physiologically Based Pharmacokinetic Modeling to Predict the Effect of Renal Impairment on the Pharmacokinetics of Olanzapine and Samidorphan Given in Combination

Clinical pharmacokinetics, 2021-05, Vol.60 (5), p.637-647

2021

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Inclusion of Obese Participants in Drug Development: Reflections on the Current Landscape and a Call for Action

Journal of clinical pharmacology, 2024-01, Vol.64 (1), p.13-18

2024

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Creation of Novel Sensitive Probe Substrate and Moderate Inhibitor Models for a Comprehensive Prediction of CYP2C8 Interactions for Tucatinib

Clinical pharmacology and therapeutics, 2024-02, Vol.115 (2), p.299-308

2024

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A Semi-Mechanistic Model to Predict the Effects of Liver Cirrhosis on Drug Clearance

Clinical pharmacokinetics, 2010-03, Vol.49 (3), p.189-206

2010

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Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling

Clinical pharmacology and therapeutics, 2020-11, Vol.108 (5), p.976-984

2020

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Risk–Benefit Assessment of Ethinylestradiol Using a Physiologically Based Pharmacokinetic Modeling Approach

Clinical pharmacology and therapeutics, 2018-12, Vol.104 (6), p.1229-1239

2018

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Physiologically based mechanistic modelling to predict complex drug–drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut—The effect of diltiazem on the time-course of exposure to triazolam

European journal of pharmaceutical sciences, 2010-03, Vol.39 (5), p.298-309

2010

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Supplementing clinical lactation studies with PBPK modeling to inform drug therapy in lactating mothers: Prediction of primaquine exposure as a case example

CPT: pharmacometrics and systems pharmacology, 2024-03, Vol.13 (3), p.386-395

2024

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PBPK modeling of ivermectin—Considerations for the purpose of developing alternative routes to optimize its safety profile

Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations

Addressing drug safety of maternal therapy during breastfeeding using physiologically‐based pharmacokinetic modeling

Physiologically‐Based Pharmacokinetic Models as Enablers of Precision Dosing in Drug Development: Pivotal Role of the Human Mass Balance Study

Prediction of CYP‐mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator

Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan

Using physiologically‐based pharmacokinetic modeling for predicting the effects of hepatic impairment on the pharmacokinetics of olanzapine and samidorphan given as a combination tablet

Physiologically Based Pharmacokinetic Modelling to Predict Imatinib Exposures in Cancer Patients with Renal Dysfunction: A Case Study

A best practice framework for applying physiologically‐based pharmacokinetic modeling to pediatric drug development

Advancing the utilization of real‐world data and real‐world evidence in clinical pharmacology and translational research—Proceedings from the ASCPT 2023 preconference workshop

Prediction of drug clearance in a smoking population: modeling the impact of variable cigarette consumption on the induction of CYP1A2

Physiologically Based Pharmacokinetic Modeling to Determine the Impact of CYP2B6 Genotype on Efavirenz Exposure in Children, Mothers and Breastfeeding Infants

Assessment of algorithms for predicting drug–drug interactions via inhibition mechanisms: comparison of dynamic and static models

Development and application of a PBPK modeling strategy to support antimalarial drug development

Model‐Informed Drug Development for Anti‐Infectives: State of the Art and Future

Dose Optimization Informed by PBPK Modeling: State-of-the Art and Future

Another Step Toward Qualification of Pediatric Physiologically Based Pharmacokinetic Models to Facilitate Inclusivity and Diversity in Pediatric Clinical Studies

Application of Physiologically Based Pharmacokinetic Modeling to Predict the Effect of Renal Impairment on the Pharmacokinetics of Olanzapine and Samidorphan Given in Combination

Inclusion of Obese Participants in Drug Development: Reflections on the Current Landscape and a Call for Action

Creation of Novel Sensitive Probe Substrate and Moderate Inhibitor Models for a Comprehensive Prediction of CYP2C8 Interactions for Tucatinib

A Semi-Mechanistic Model to Predict the Effects of Liver Cirrhosis on Drug Clearance

Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling

Risk–Benefit Assessment of Ethinylestradiol Using a Physiologically Based Pharmacokinetic Modeling Approach

Physiologically based mechanistic modelling to predict complex drug–drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut—The effect of diltiazem on the time-course of exposure to triazolam

Supplementing clinical lactation studies with PBPK modeling to inform drug therapy in lactating mothers: Prediction of primaquine exposure as a case example

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