CPT-Pharmacometrics & Systems Pharmacology

Papers
(The TQCC of CPT-Pharmacometrics & Systems Pharmacology is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Timing of Antiviral Treatment Initiation is Critical to Reduce SARS‐CoV‐2 Viral Load132
Data Digitizing: Accurate and Precise Data Extraction for Quantitative Systems Pharmacology and Physiologically‐Based Pharmacokinetic Modeling53
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility47
Mini‐Review: Comprehensive Drug Disposition Knowledge Generated in the Modern Human Radiolabeled ADME Study36
Physiologically‐based pharmacokinetic modeling to support bioequivalence and approval of generic products: A case for diclofenac sodium topical gel, 1%35
An artificial neural network−pharmacokinetic model and its interpretation using Shapley additive explanations34
QSP‐IO: A Quantitative Systems Pharmacology Toolbox for Mechanistic Multiscale Modeling for Immuno‐Oncology Applications32
Application of Physiologically‐Based Pharmacokinetic Modeling to Predict Gastric pH‐Dependent Drug–Drug Interactions for Weak Base Drugs25
PK/PD modeling of FXI antisense oligonucleotides to bridge the dose‐FXI activity relation from healthy volunteers to end‐stage renal disease patients24
Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations23
A novel method based on unbiased correlations tests for covariate selection in nonlinear mixed effects models: The COSSAC approach22
Phase II Dose Selection for Alpha Synuclein–Targeting Antibody Cinpanemab (BIIB054) Based on Target Protein Binding Levels in the Brain22
Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration22
Quantitative prediction of breast cancer resistant protein mediated drug‐drug interactions using physiologically‐based pharmacokinetic modeling22
Prediction of drug concentrations in milk during breastfeeding, integrating predictive algorithms within a physiologically‐based pharmacokinetic model22
Guide to development of compound files for PBPK modeling in the Simcyp population‐based simulator21
PBPK Model of Coproporphyrin I: Evaluation of the Impact of SLCO1B1 Genotype, Ethnicity, and Sex on its Inter‐Individual Variability21
A mechanism‐based pharmacokinetic model of remdesivir leveraging interspecies scaling to simulate COVID‐19 treatment in humans20
Opportunities and challenges for applying model‐informed drug development approaches to gene therapies20
Bench‐to‐bedside translation of chimeric antigen receptor (CAR) T cells using a multiscale systems pharmacokinetic‐pharmacodynamic model: A case study with anti‐BCMA CAR‐T20
Investigational Treatments for COVID‐19 may Increase Ventricular Arrhythmia Risk Through Drug Interactions19
PBPK modeling to predict drug‐drug interactions of ivosidenib as a perpetrator in cancer patients and qualification of the Simcyp platform for CYP3A4 induction19
Mechanistic Models as Framework for Understanding Biomarker Disposition: Prediction of Creatinine‐Drug Interactions19
A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors19
Exposure–safety analysis of QTc interval and transaminase levels following bedaquiline administration in patients with drug‐resistant tuberculosis18
Approaches to handling missing or “problematic” pharmacology data: Pharmacokinetics18
Population pharmacokinetic analysis of ulotaront in subjects with schizophrenia18
Verifying and Validating Quantitative Systems Pharmacology and In Silico Models in Drug Development: Current Needs, Gaps, and Challenges18
Perspective on model‐informed drug development18
Reinforcement learning and Bayesian data assimilation for model‐informed precision dosing in oncology17
Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions17
Modeling Favipiravir Antiviral Efficacy Against Emerging Viruses: From Animal Studies to Clinical Trials17
Longitudinal Tumor Size and Neutrophil‐to‐Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non‐Small Cell Lung Cancer Treated With Durvalumab16
Network model‐based screen for FDA‐approved drugs affecting cardiac fibrosis16
A Prototype QSP Model of the Immune Response to SARS‐CoV‐2 for Community Development16
Heterogeneous treatment effect analysis based on machine‐learning methodology16
Prediction of overall survival in patients across solid tumors following atezolizumab treatments: A tumor growth inhibition–overall survival modeling framework15
A generic framework for the physiologically‐based pharmacokinetic platform qualification of PK‐Sim and its application to predicting cytochrome P450 3A4–mediated drug–drug interactions15
Brigatinib Dose Rationale in Anaplastic Lymphoma Kinase–Positive Non‐Small Cell Lung Cancer: Exposure–Response Analyses of Pivotal ALTA Study15
Novel Mechanistic PBPK Model to Predict Renal Clearance in Varying Stages of CKD by Incorporating Tubular Adaptation and Dynamic Passive Reabsorption15
Physiologically‐Based Pharmacokinetic Modelling of Creatinine‐Drug Interactions in the Chronic Kidney Disease Population15
Drug‐Disease Interaction and Time‐Dependent Population Pharmacokinetics of Isatuximab in Relapsed/Refractory Multiple Myeloma Patients15
Comprehensive PBPK model to predict drug interaction potential of Zanubrutinib as a victim or perpetrator15
Physiologically‐based pharmacokinetic modeling of dextromethorphan to investigate interindividual variability within CYP2D6 activity score groups15
Application of Machine Learning for Tumor Growth Inhibition – Overall Survival Modeling Platform15
Physiologically‐based pharmacokinetic modeling to evaluate in vitro‐to‐in vivo extrapolation for intestinal P‐glycoprotein inhibition14
Tumor Growth Dynamic Modeling in Oncology Drug Development and Regulatory Approval: Past, Present, and Future Opportunities14
Opening a debate on open‐source modeling tools: Pouring fuel on fire versus extinguishing the flare of a healthy debate14
Berkeley Madonna Version 10–A simulation package for solving mathematical models14
A Quantitative Systems Pharmacology Model of Gaucher Disease Type 1 Provides Mechanistic Insight Into the Response to Substrate Reduction Therapy With Eliglustat14
A Novel Physiologically Based Model of Creatinine Renal Disposition to Integrate Current Knowledge of Systems Parameters and Clinical Observations14
Translational pharmacokinetic‐pharmacodynamic modeling of preclinical and clinical data of the oral MET inhibitor tepotinib to determine the recommended phase II dose14
Evaluation framework for systems models14
Development of a model‐based clinical trial simulation platform to optimize the design of clinical trials for Duchenne muscular dystrophy13
Examination of Metoprolol Pharmacokinetics and Pharmacodynamics Across CYP2D6 Genotype‐Derived Activity Scores13
Hallmarks of neurodegenerative disease: A systems pharmacology perspective13
Development of best practices in physiologically based pharmacokinetic modeling to support clinical pharmacology regulatory decision‐making—A workshop summary13
Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab13
Assessing the predictive performance of population pharmacokinetic models for intravenous polymyxin B in critically ill patients13
Physiologically‐Based Pharmacokinetic Modeling for the Prediction of a Drug–Drug Interaction of Combined Effects on P‐glycoprotein and Cytochrome P450 3A13
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles13
A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics13
Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines12
Population pharmacokinetics of letermovir following oral and intravenous administration in healthy participants and allogeneic hematopoietic cell transplantation recipients12
Multistate model for pharmacometric analyses of overall survival in HER2‐negative breast cancer patients treated with docetaxel12
Model‐Informed Pediatric Dose Selection for Dapagliflozin by Incorporating Developmental Changes12
Population pharmacokinetics of favipiravir in patients with COVID‐1912
Data‐driven personalization of a physiologically based pharmacokinetic model for caffeine: A systematic assessment12
Prediction of CYP‐mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator12
Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction12
Precision dosing of intravenous busulfan in pediatric hematopoietic stem cell transplantation: Results from a multicenter population pharmacokinetic study12
Model‐Informed Drug Development for Everolimus Dosing Selection in Pediatric Infant Patients11
Unraveling pleiotropic effects of rifampicin by using physiologically based pharmacokinetic modeling: Assessing the induction magnitude of P‐glycoprotein–cytochrome P450 3A4 dual substrates11
Population pharmacokinetic model with time‐varying clearance for lorlatinib using pooled data from patients with non‐small cell lung cancer and healthy participants11
Introduction of an artificial neural network–based method for concentration‐time predictions11
Predicting disease activity in patients with multiple sclerosis: An explainable machine‐learning approach in the Mavenclad trials11
Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling10
Kinetic‐Pharmacodynamic Model of Platelet Time Course in Patients With Moderate‐to‐Severe Atopic Dermatitis Treated With Oral Janus Kinase 1 Inhibitor Abrocitinib10
Network module‐based drug repositioning for pulmonary arterial hypertension10
A best practice framework for applying physiologically‐based pharmacokinetic modeling to pediatric drug development10
Quantitative systems pharmacology in neuroscience: Novel methodologies and technologies10
Quantitative Assessment of Levonorgestrel Binding Partner Interplay and Drug‐Drug Interactions Using Physiologically Based Pharmacokinetic Modeling10
Robust physiologically based pharmacokinetic model of rifampicin for predicting drug–drug interactions via P‐glycoprotein induction and inhibition in the intestine, liver, and kidney10
Modeling is data driven: Use it for successful virtual patient generation9
Stable warfarin dose prediction in sub‐Saharan African patients: A machine‐learning approach and external validation of a clinical dose–initiation algorithm9
Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports9
Physiologically‐Based Pharmacokinetic Modeling of the Drug–Drug Interaction of the UGT Substrate Ertugliflozin Following Co‐Administration with the UGT Inhibitor Mefenamic Acid9
Cross‐company collaboration to leverage analytics for clinical quality and accelerate drug development: The IMPALA industry group9
Cluster Gauss‐Newton method analyses of PBPK model parameter combinations of coproporphyrin‐I based on OATP1B‐mediated rifampicin interaction studies9
Evaluation of machine learning methods for covariate data imputation in pharmacometrics9
Quantitative systems pharmacology model for Alzheimer’s disease to predict the effect of aducanumab on brain amyloid9
Predicting the longitudinal changes of levodopa dose requirements in Parkinson’s disease using item response theory assessment of real‐world Unified Parkinson's Disease Rating Scale9
Population PBPK modeling using parametric and nonparametric methods of the Simcyp Simulator, and Bayesian samplers9
Population pharmacokinetics of belantamab mafodotin, a BCMA‐targeting agent in patients with relapsed/refractory multiple myeloma9
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling9
Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol9
Physiologically‐based pharmacokinetic modeling to predict CYP3A4‐mediated drug‐drug interactions of finerenone9
SAMBA: A novel method for fast automatic model building in nonlinear mixed‐effects models9
Population pharmacokinetic modeling and simulation to support qualification of pyridoxic acid as endogenous biomarker of OAT1/3 renal transporters9
Examination of Physiologically‐Based Pharmacokinetic Models of Rosuvastatin9
Conditional distribution modeling as an alternative method for covariates simulation: Comparison with joint multivariate normal and bootstrap techniques8
Multi‐model averaging improves the performance of model‐guided infliximab dosing in patients with inflammatory bowel diseases8
Population pharmacokinetics and standard uptake value ratio of aducanumab, an amyloid plaque–removing agent, in patients with Alzheimer’s disease8
Easy and reliable maximum a posteriori Bayesian estimation of pharmacokinetic parameters with the open‐source R package mapbayr8
Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction8
Physiologically‐based pharmacokinetics modeling to investigate formulation factors influencing the generic substitution of dabigatran etexilate8
Population pharmacokinetic‐pharmacodynamic analyses of amyloid positron emission tomography and plasma biomarkers for lecanemab in subjects with early Alzheimer's disease8
Estimating fetal exposure to the P‐gp substrates, corticosteroids, by PBPK modeling to inform prevention of neonatal respiratory distress syndrome8
PK/PD modeling analysis for dosing regimen selection of isatuximab as single agent and in combination therapy in patients with multiple myeloma8
Population pharmacokinetic and exposure–response analyses of intravenous and subcutaneous rituximab in patients with chronic lymphocytic leukemia8
Pharmacokinetic Characterization to Enable Medicine Use in Pregnancy, the Potential Role of Physiologically‐Based Pharmacokinetic Modeling: A Regulatory Perspective8
Development and application of a pediatric mechanistic kidney model7
Population Pharmacodynamic Model of Neutrophil Margination and Tolerance to Describe Effect of Sarilumab on Absolute Neutrophil Count in Patients with Rheumatoid Arthritis7
An introduction to the full random effects model7
Pharmacokinetic‐pharmacodynamic modelling of the anti‐FcRn monoclonal antibody rozanolixizumab: Translation from preclinical stages to the clinic7
Potential Issues With Virtual Populations When Applied to Nonlinear Quantitative Systems Pharmacology Models7
Population pharmacokinetic analysis of dupilumab in adult and adolescent patients with asthma7
The potential and pitfalls of artificial intelligence in clinical pharmacology7
Development and Application of a Mechanistic Population Modeling Approach to Describe Abemaciclib Pharmacokinetics7
Physiologically‐based pharmacokinetic modeling of oxcarbazepine and levetiracetam during adjunctive antiepileptic therapy in children and adolescents7
Efficient and relevant stepwise covariate model building for pharmacometrics7
A quantitative systems pharmacology approach to support mRNA vaccine development and optimization7
Pharmacokinetic/pharmacodynamic modeling of drug interactions at the P2Y12 receptor between selatogrel and oral P2Y12 antagonists7
Multi‐phase multi‐layer mechanistic dermal absorption (MPML MechDermA) model to predict local and systemic exposure of drug products applied on skin7
Modeling restoration of gefitinib efficacy by co‐administration of MET inhibitors in an EGFR inhibitor‐resistant NSCLC xenograft model: A tumor‐in‐host DEB‐based approach7
Optimized sampling to estimate vancomycin drug exposure: Comparison of pharmacometric and equation‐based approaches in a simulation‐estimation study7
Population pharmacokinetic modeling of molibresib and its active metabolites in patients with solid tumors: A semimechanistic autoinduction model7
Beyond the single average tumor: Understanding IO combinations using a clinical QSP model that incorporates heterogeneity in patient response7
A Perspective on Quantitative Systems Pharmacology Applications to Clinical Drug Development7
Application of a dual mechanistic approach to support bilastine dose selection for older adults7
Tumor growth inhibition modeling of individual lesion dynamics and interorgan variability in HER2‐negative breast cancer patients treated with docetaxel7
Detecting placebo and drug effects on Parkinson's disease symptoms by longitudinal item‐score models7
Pretomanid dose selection for pulmonary tuberculosis: An application of multi‐objective optimization to dosage regimen design7
Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults7
Development of physiologically‐based pharmacokinetic models for standard of care and newer tuberculosis drugs7
Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study7
Pharm‐AutoML: An open‐source, end‐to‐end automated machine learning package for clinical outcome prediction7
A continued learning approach for model‐informed precision dosing: Updating models in clinical practice7
Delineating gene–environment effects using virtual twins of patients treated with clozapine7
Clinical Trial Simulation To Optimize Trial Design for Fludarabine Dosing Strategies in Allogeneic Hematopoietic Cell Transplantation6
Estimation of Equipotent Doses for Anti‐Inflammatory Effects of Prednisolone and AZD9567, an Oral Selective Nonsteroidal Glucocorticoid Receptor Modulator6
Model‐informed target identification and validation through combining quantitative systems pharmacology with network‐based analysis6
Mechanistic modeling of generic orally inhaled drug products: A workshop summary report6
Use of physiologically‐based pharmacokinetic modeling to inform dosing of the opioid analgesics fentanyl and methadone in children with obesity6
An introduction to causal inference for pharmacometricians6
Erdafitinib’s effect on serum phosphate justifies its pharmacodynamically guided dosing in patients with cancer6
CPT: Pharmacometrics & Systems Pharmacology – Inception, Maturation, and Future Vision6
Anti–SARS‐CoV‐2 Repurposing Drug Database: Clinical Pharmacology Considerations6
Model‐based prediction of effective target exposure for MEN1611 in combination with trastuzumab in HER2‐positive advanced or metastatic breast cancer patients6
Scientific and regulatory evaluation of empirical pharmacometric models: An application of the risk informed credibility assessment framework6
Exposure–response analysis of efficacy and safety for pexidartinib in patients with tenosynovial giant cell tumor6
Virtual clinical trial simulations for a novel KRASG12C inhibitor (ASP2453) in non‐small cell lung cancer6
Pharmacometrics meets statistics—A synergy for modern drug development6
Exposure‐Safety Analyses Identify Predictors of Change in Bone Mineral Density and Support Elagolix Labeling for Endometriosis‐Associated Pain6
Pharmacometric analyses of alectinib to facilitate approval of the optimal dose for the first‐line treatment of anaplastic lymphoma kinasepositive non‐small cell lung cancer6
Estimands—What they are and why they are important for pharmacometricians6
Variability in the Log Domain and Limitations to Its Approximation by the Normal Distribution6
Virtual clinical trials: A tool for predicting patients who may benefit from treatment beyond progression with pembrolizumab in non‐small cell lung cancer6
Prediction of cytochromes P450 3A and 2C19 modulation by both inflammation and drug interactions using physiologically based pharmacokinetics6
Population pharmacokinetic analysis of rivaroxaban in children and comparison to prospective physiologically‐based pharmacokinetic predictions6
Physiologically‐based pharmacokinetic modeling to predict drug interactions of lemborexant with CYP3A inhibitors6
Semimechanistic Clearance Models of Oncology Biotherapeutics and Impact of Study Design: Cetuximab as a Case Study6
Mechanistically modeling peripheral cytokine dynamics following bispecific dosing in solid tumors6
Evaluation of drug–drug interaction potential for pemigatinib using physiologically based pharmacokinetic modeling6
Model‐based meta‐analysis of changes in circulatory system physiology in patients with chronic heart failure5
Salvaging CNS Clinical Trials Halted Due to COVID‐195
Growth‐rate model predicts in vivo tumor response from in vitro data5
Development of and insights from systems pharmacology models of antibody‐drug conjugates5
Predictions of Systemic, Intracellular, and Lung Concentrations of Azithromycin With Different Dosing Regimens Used in COVID‐19 Clinical Trials5
A Physiologically‐Based Quantitative Systems Pharmacology Model of the Incretin Hormones GLP‐1 and GIP and the DPP4 Inhibitor Sitagliptin5
Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib5
Population pharmacokinetics of mobocertinib in healthy volunteers and patients with non–small cell lung cancer5
Does the choice of applied physiologically‐based pharmacokinetics platform matter? A case study on simvastatin disposition and drug–drug interaction5
Population pharmacokinetic model for once‐daily intravenous busulfan in pediatric subjects describing time‐associated clearance5
An age‐dependent mathematical model of neurofilament trafficking in healthy conditions5
Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package5
Individualized Absorption Models in Population Pharmacokinetic Analyses5
Physiologically based pharmacokinetic modeling of levetiracetam to predict the exposure in hepatic and renal impairment and elderly populations5
Dose/exposure–response modeling in dose titration trials: Overcoming the titration paradox5
End‐to‐end application of model‐informed drug development for ertugliflozin, a novel sodium‐glucose cotransporter 2 inhibitor5
The use of extrapolation based on modeling and simulation to support high‐dose regimens of ceftaroline fosamil in pediatric patients with complicated skin and soft‐tissue infections5
Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol5
Population Pharmacokinetics and Exposure–Response of Luspatercept, an Erythroid Maturation Agent, in Anemic Patients With Myelodysplastic Syndromes5
Cytochrome P450 2D6 genotype–phenotype characterization through population pharmacokinetic modeling of tedatioxetine5
R and nlmixr as a gateway between statistics and pharmacometrics5
Establishing the suitability of model‐integrated evidence to demonstrate bioequivalence for long‐acting injectable and implantable drug products: Summary of workshop5
Quantitative systems pharmacology model of the amyloid pathway in Alzheimer's disease: Insights into the therapeutic mechanisms of clinical candidates5
Regulatory utility of physiologically based pharmacokinetic modeling for assessing food impact in bioequivalence studies: A workshop summary report5
A combined physiologically‐based pharmacokinetic and quantitative systems pharmacology model for modeling amyloid aggregation in Alzheimer's disease5
Verifying in vitro‐determined enzyme contributions to cannabidiol clearance for exposure predictions in human through physiologically‐based pharmacokinetic modeling5
Performance of Cox proportional hazard models on recovering the ground truth of confounded exposure–response relationships for large‐molecule oncology drugs5
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