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In memory of Dr. Thomas M. Ludden: a pioneer in pharmacometrics, a mentor to many, and a legacy of compassionate science
In memory of Dr. Thomas M. Ludden: a pioneer in pharmacometrics, a mentor to many, and a legacy of compassionate science
Cite this articleRiley, S., Korth-Bradley, J., Bauer, R.J. et al. In memory of Dr. Thomas M. Ludden: a pioneer in pharmaco...
Recommendations for a standardized publication protocol for a QSP model
Recommendations for a standardized publication protocol for a QSP model
Development of a Quantitative Systems Pharmacology (QSP) model is a long process with many iterative steps. Lack of standa...
Computing optimal drug dosing regarding efficacy and safety: the enhanced OptiDose method in NONMEM
Computing optimal drug dosing regarding efficacy and safety: the enhanced OptiDose method in NONMEM
Recently, an optimal dosing algorithm (OptiDose) was developed to compute the optimal drug doses for any pharmacometrics m...
Population pharmacokinetic analyses of pozelimab in patients with CD55-deficient protein-losing enteropathy (CHAPLE disease)
Population pharmacokinetic analyses of pozelimab in patients with CD55-deficient protein-losing enteropathy (CHAPLE disease)
Pozelimab, a monoclonal antibody directed against C5, is the first and only treatment for adult and pediatric patients (&#...
Population pharmacokinetics and exposure–response relationships of maribavir in transplant recipients with cytomegalovirus infection
Population pharmacokinetics and exposure–response relationships of maribavir in transplant recipients with cytomegalovirus infection
Maribavir is approved for management of post-transplant cytomegalovirus (CMV) infections refractory and/or resistant to CM...
Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data
Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data
The generation of synthetic patient data that reflect the statistical properties of real data plays a fundamental role in ...
A review of the physiological effects of microgravity and innovative formulation for space travelers
A review of the physiological effects of microgravity and innovative formulation for space travelers
During the space travel mission, astronauts’ physiological and psychological behavior will alter, and they will star...
Visual predictive check of longitudinal models and dropout
Visual predictive check of longitudinal models and dropout
Visual predictive checks (VPC) are commonly used to evaluate pharmacometrics models. However their performance may be hamp...
General quasi-equilibrium multivalent binding model to study diverse and complex drug-receptor interactions of biologics
General quasi-equilibrium multivalent binding model to study diverse and complex drug-receptor interactions of biologics
Pharmacokinetics and pharmacodynamics of many biologics are influenced by their complex binding to biological receptors. B...
Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling
Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling
In this paper, we use Time Scale Calculus (TSC) to formulate and solve pharmacokinetic models exploring multiple dose dyna...
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
This work focusses on extending the deep compartment model (DCM) framework to the estimation of mixed-effects. By introduc...
A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy
A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy
Congenital adrenal hyperplasia (CAH) is characterized by impaired adrenal cortisol production. Hydrocortisone (synthetic c...
pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization
pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization
Forward addition/backward elimination (FABE) has been the standard for population pharmacokinetic model selection (PPK) si...
An asymptotic description of a basic FcRn-regulated clearance mechanism and its implications for PBPK modelling of large antibodies
An asymptotic description of a basic FcRn-regulated clearance mechanism and its implications for PBPK modelling of large antibodies
A basic FcRn-regulated clearance mechanism is investigated using the method of matched asymptotic expansions. The broader ...
Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice
Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice
Quantitative predictive modeling of cancer growth, progression, and individual response to therapy is a rapidly growing fi...
Virtual clinical trials via a QSP immuno-oncology model to simulate the response to a conditionally activated PD-L1 targeting antibody in NSCLC
Virtual clinical trials via a QSP immuno-oncology model to simulate the response to a conditionally activated PD-L1 targeting antibody in NSCLC
Recently, immunotherapies for antitumoral response have adopted conditionally activated molecules with the objective of re...
A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema
A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema
Hereditary angioedema (HAE) due to C1-inhibitor deficiency is a rare, debilitating, genetic disorder characterized by recu...
Note on importance of correct stoichiometric assumptions for modeling of monoclonal antibodies
Note on importance of correct stoichiometric assumptions for modeling of monoclonal antibodies
Pharmacokinetic modeling of monoclonal antibodies (mAbs) with non-linear binding is based on equations of the target-media...
Translational two-pore PBPK model to characterize whole-body disposition of different-size endogenous and exogenous proteins
Translational two-pore PBPK model to characterize whole-body disposition of different-size endogenous and exogenous proteins
Two-pore physiologically based pharmacokinetic (PBPK) modeling has demonstrated its potential in describing the pharmacoki...
Evaluation of ChatGPT and Gemini large language models for pharmacometrics with NONMEM
Evaluation of ChatGPT and Gemini large language models for pharmacometrics with NONMEM
To assess ChatGPT 4.0 (ChatGPT) and Gemini Ultra 1.0 (Gemini) large language models on NONMEM coding tasks relevant to pha...
Target-mediated drug disposition model for drugs with N > 2 binding sites that bind to a target with one binding site
Target-mediated drug disposition model for drugs with N > 2 binding sites that bind to a target with one binding site
The paper extended the TMDD model to drugs with more than two (N > 2) identical binding sites (N-to-one...
A systematic evaluation of population pharmacokinetic models for polymyxin B in patients with liver and/or kidney dysfunction
A systematic evaluation of population pharmacokinetic models for polymyxin B in patients with liver and/or kidney dysfunction
Polymyxin B (PMB) is considered a last-line treatment for multidrug-resistant (MDR) gram-negative bacterial infections. Mo...
Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles
Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles
The study aimed to provide quantitative information on the utilization of MRI transverse relaxation time constant (MRI-T2)...
Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise covariate model (SCM) and SCM+ approaches
Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise covariate model (SCM) and SCM+ approaches
Covariate analysis in population pharmacokinetics is key for adjusting doses for patients. The main objective of this work...
Model-based comparison of subcutaneous versus sublingual apomorphine administration in the treatment of motor fluctuations in Parkinson’s disease
Model-based comparison of subcutaneous versus sublingual apomorphine administration in the treatment of motor fluctuations in Parkinson’s disease
The objective of this study was to compare the effectiveness of subcutaneous (SC) and sublingual (SL) formulations of apom...
Docetaxel, cyclophosphamide, and epirubicin: application of PBPK modeling to gain new insights for drug-drug interactions
Docetaxel, cyclophosphamide, and epirubicin: application of PBPK modeling to gain new insights for drug-drug interactions
The new adjuvant chemotherapy of docetaxel, epirubicin, and cyclophosphamide has been recommended for treating breast canc...
Longitudinal modeling of efficacy response in patients with lupus nephritis receiving belimumab
Longitudinal modeling of efficacy response in patients with lupus nephritis receiving belimumab
Belimumab was approved for active lupus nephritis (LN) in adults in the European Union and patients ≥ 5 ...
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models
Conventional pharmacokinetic (PK) models contain several useful inductive biases guiding model convergence to more realist...
Maximum a posteriori Bayesian methods out-perform non-compartmental analysis for busulfan precision dosing
Maximum a posteriori Bayesian methods out-perform non-compartmental analysis for busulfan precision dosing
Dose personalization improves patient outcomes for many drugs with a narrow therapeutic index and high inter-individuality...
Predicting efficacy assessment of combined treatment of radiotherapy and nivolumab for NSCLC patients through virtual clinical trials using QSP modeling
Predicting efficacy assessment of combined treatment of radiotherapy and nivolumab for NSCLC patients through virtual clinical trials using QSP modeling
Non-Small Cell Lung Cancer (NSCLC) remains one of the main causes of cancer death worldwide. In the urge of finding an eff...
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