CPT-Pharmacometrics & Systems Pharmacology

Papers
(The TQCC of CPT-Pharmacometrics & Systems Pharmacology is 6. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility59
Physiologically‐based pharmacokinetic modeling to support bioequivalence and approval of generic products: A case for diclofenac sodium topical gel, 1%42
An artificial neural network−pharmacokinetic model and its interpretation using Shapley additive explanations40
PK/PD modeling of FXI antisense oligonucleotides to bridge the dose‐FXI activity relation from healthy volunteers to end‐stage renal disease patients30
A novel method based on unbiased correlations tests for covariate selection in nonlinear mixed effects models: The COSSAC approach30
Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations30
Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration30
Prediction of drug concentrations in milk during breastfeeding, integrating predictive algorithms within a physiologically‐based pharmacokinetic model29
Approaches to handling missing or “problematic” pharmacology data: Pharmacokinetics27
Quantitative prediction of breast cancer resistant protein mediated drug‐drug interactions using physiologically‐based pharmacokinetic modeling27
A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors25
Guide to development of compound files for PBPK modeling in the Simcyp population‐based simulator25
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‐T24
Opportunities and challenges for applying model‐informed drug development approaches to gene therapies23
Reinforcement learning and Bayesian data assimilation for model‐informed precision dosing in oncology23
Perspective on model‐informed drug development22
A mechanism‐based pharmacokinetic model of remdesivir leveraging interspecies scaling to simulate COVID‐19 treatment in humans22
Translational pharmacokinetic‐pharmacodynamic modeling of preclinical and clinical data of the oral MET inhibitor tepotinib to determine the recommended phase II dose22
PBPK modeling to predict drug‐drug interactions of ivosidenib as a perpetrator in cancer patients and qualification of the Simcyp platform for CYP3A4 induction21
PBPK Model of Coproporphyrin I: Evaluation of the Impact of SLCO1B1 Genotype, Ethnicity, and Sex on its Inter‐Individual Variability21
Heterogeneous treatment effect analysis based on machine‐learning methodology21
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 Durvalumab19
Hallmarks of neurodegenerative disease: A systems pharmacology perspective19
Investigational Treatments for COVID‐19 may Increase Ventricular Arrhythmia Risk Through Drug Interactions19
Prediction of overall survival in patients across solid tumors following atezolizumab treatments: A tumor growth inhibition–overall survival modeling framework19
Population pharmacokinetic analysis of ulotaront in subjects with schizophrenia19
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles18
Berkeley Madonna Version 10–A simulation package for solving mathematical models18
Evaluation framework for systems models18
Exposure–safety analysis of QTc interval and transaminase levels following bedaquiline administration in patients with drug‐resistant tuberculosis18
Prediction of CYP‐mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator17
Physiologically‐based pharmacokinetic modeling of dextromethorphan to investigate interindividual variability within CYP2D6 activity score groups17
Assessing the predictive performance of population pharmacokinetic models for intravenous polymyxin B in critically ill patients17
Development of a model‐based clinical trial simulation platform to optimize the design of clinical trials for Duchenne muscular dystrophy17
A Prototype QSP Model of the Immune Response to SARS‐CoV‐2 for Community Development17
Development of best practices in physiologically based pharmacokinetic modeling to support clinical pharmacology regulatory decision‐making—A workshop summary17
Network model‐based screen for FDA‐approved drugs affecting cardiac fibrosis17
Comprehensive PBPK model to predict drug interaction potential of Zanubrutinib as a victim or perpetrator16
Application of Machine Learning for Tumor Growth Inhibition – Overall Survival Modeling Platform16
Physiologically‐Based Pharmacokinetic Modelling of Creatinine‐Drug Interactions in the Chronic Kidney Disease Population16
Efficient and relevant stepwise covariate model building for pharmacometrics16
A generic framework for the physiologically‐based pharmacokinetic platform qualification of PK‐Sim and its application to predicting cytochrome P450 3A4–mediated drug–drug interactions16
Examination of Metoprolol Pharmacokinetics and Pharmacodynamics Across CYP2D6 Genotype‐Derived Activity Scores16
Precision dosing of intravenous busulfan in pediatric hematopoietic stem cell transplantation: Results from a multicenter population pharmacokinetic study16
Model‐Informed Pediatric Dose Selection for Dapagliflozin by Incorporating Developmental Changes15
Population pharmacokinetics of letermovir following oral and intravenous administration in healthy participants and allogeneic hematopoietic cell transplantation recipients15
Predicting disease activity in patients with multiple sclerosis: An explainable machine‐learning approach in the Mavenclad trials15
Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines15
Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab15
Introduction of an artificial neural network–based method for concentration‐time predictions15
Brigatinib Dose Rationale in Anaplastic Lymphoma Kinase–Positive Non‐Small Cell Lung Cancer: Exposure–Response Analyses of Pivotal ALTA Study15
Physiologically‐based pharmacokinetic modeling to evaluate in vitro‐to‐in vivo extrapolation for intestinal P‐glycoprotein inhibition14
Network module‐based drug repositioning for pulmonary arterial hypertension14
Population pharmacokinetic‐pharmacodynamic analyses of amyloid positron emission tomography and plasma biomarkers for lecanemab in subjects with early Alzheimer's disease14
Easy and reliable maximum a posteriori Bayesian estimation of pharmacokinetic parameters with the open‐source R package mapbayr14
Opening a debate on open‐source modeling tools: Pouring fuel on fire versus extinguishing the flare of a healthy debate14
SAMBA: A novel method for fast automatic model building in nonlinear mixed‐effects models14
The potential and pitfalls of artificial intelligence in clinical pharmacology13
Data‐driven personalization of a physiologically based pharmacokinetic model for caffeine: A systematic assessment13
Physiologically‐Based Pharmacokinetic Modeling for the Prediction of a Drug–Drug Interaction of Combined Effects on P‐glycoprotein and Cytochrome P450 3A13
Population pharmacokinetics of favipiravir in patients with COVID‐1913
Population pharmacokinetic model with time‐varying clearance for lorlatinib using pooled data from patients with non‐small cell lung cancer and healthy participants13
Multi‐model averaging improves the performance of model‐guided infliximab dosing in patients with inflammatory bowel diseases13
Multistate model for pharmacometric analyses of overall survival in HER2‐negative breast cancer patients treated with docetaxel13
Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling13
Unraveling pleiotropic effects of rifampicin by using physiologically based pharmacokinetic modeling: Assessing the induction magnitude of P‐glycoprotein–cytochrome P450 3A4 dual substrates12
Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package12
Quantitative systems pharmacology in neuroscience: Novel methodologies and technologies12
Quantitative Assessment of Levonorgestrel Binding Partner Interplay and Drug‐Drug Interactions Using Physiologically Based Pharmacokinetic Modeling12
Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction12
Multi‐phase multi‐layer mechanistic dermal absorption (MPML MechDermA) model to predict local and systemic exposure of drug products applied on skin12
A continued learning approach for model‐informed precision dosing: Updating models in clinical practice12
Stable warfarin dose prediction in sub‐Saharan African patients: A machine‐learning approach and external validation of a clinical dose–initiation algorithm11
Evaluation of machine learning methods for covariate data imputation in pharmacometrics11
Population pharmacokinetics of belantamab mafodotin, a BCMA‐targeting agent in patients with relapsed/refractory multiple myeloma11
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling11
Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction11
Population pharmacokinetic modeling and simulation to support qualification of pyridoxic acid as endogenous biomarker of OAT1/3 renal transporters11
Estimating fetal exposure to the P‐gp substrates, corticosteroids, by PBPK modeling to inform prevention of neonatal respiratory distress syndrome11
Pharmacometrics meets statistics—A synergy for modern drug development11
Erdafitinib’s effect on serum phosphate justifies its pharmacodynamically guided dosing in patients with cancer11
Robust physiologically based pharmacokinetic model of rifampicin for predicting drug–drug interactions via P‐glycoprotein induction and inhibition in the intestine, liver, and kidney10
Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol10
Population pharmacokinetics and standard uptake value ratio of aducanumab, an amyloid plaque–removing agent, in patients with Alzheimer’s disease10
Population PBPK modeling using parametric and nonparametric methods of the Simcyp Simulator, and Bayesian samplers10
Physiologically‐based pharmacokinetic modeling to predict CYP3A4‐mediated drug‐drug interactions of finerenone10
Mechanistically modeling peripheral cytokine dynamics following bispecific dosing in solid tumors10
A best practice framework for applying physiologically‐based pharmacokinetic modeling to pediatric drug development10
Modeling is data driven: Use it for successful virtual patient generation10
Physiologically‐based pharmacokinetic modeling of oxcarbazepine and levetiracetam during adjunctive antiepileptic therapy in children and adolescents10
Cluster Gauss‐Newton method analyses of PBPK model parameter combinations of coproporphyrin‐I based on OATP1B‐mediated rifampicin interaction studies10
Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults10
Prediction of cytochromes P450 3A and 2C19 modulation by both inflammation and drug interactions using physiologically based pharmacokinetics10
An introduction to the full random effects model10
Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports10
Examination of Physiologically‐Based Pharmacokinetic Models of Rosuvastatin10
Conditional distribution modeling as an alternative method for covariates simulation: Comparison with joint multivariate normal and bootstrap techniques10
Scientific and regulatory evaluation of empirical pharmacometric models: An application of the risk informed credibility assessment framework10
Quantitative systems pharmacology model for Alzheimer’s disease to predict the effect of aducanumab on brain amyloid10
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 Scale10
PK/PD modeling analysis for dosing regimen selection of isatuximab as single agent and in combination therapy in patients with multiple myeloma10
Cross‐company collaboration to leverage analytics for clinical quality and accelerate drug development: The IMPALA industry group10
Virtual clinical trial simulations for a novel KRASG12C inhibitor (ASP2453) in non‐small cell lung cancer9
A framework to guide dose & regimen strategy for clinical drug development9
A Perspective on Quantitative Systems Pharmacology Applications to Clinical Drug Development9
Physiologically‐Based Pharmacokinetic Modeling of the Drug–Drug Interaction of the UGT Substrate Ertugliflozin Following Co‐Administration with the UGT Inhibitor Mefenamic Acid9
An introduction to causal inference for pharmacometricians9
Pharm‐AutoML: An open‐source, end‐to‐end automated machine learning package for clinical outcome prediction9
Prediction of the drug–drug interaction potential of the α1‐acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib9
Anti–SARS‐CoV‐2 Repurposing Drug Database: Clinical Pharmacology Considerations9
Population pharmacokinetic and exposure–response analyses of intravenous and subcutaneous rituximab in patients with chronic lymphocytic leukemia9
Tumor growth inhibition modeling of individual lesion dynamics and interorgan variability in HER2‐negative breast cancer patients treated with docetaxel9
Beyond the single average tumor: Understanding IO combinations using a clinical QSP model that incorporates heterogeneity in patient response8
Delineating gene–environment effects using virtual twins of patients treated with clozapine8
Development and application of a pediatric mechanistic kidney model8
Use of physiologically‐based pharmacokinetic modeling to inform dosing of the opioid analgesics fentanyl and methadone in children with obesity8
Development of physiologically‐based pharmacokinetic models for standard of care and newer tuberculosis drugs8
Population pharmacokinetic modeling of molibresib and its active metabolites in patients with solid tumors: A semimechanistic autoinduction model8
Population pharmacokinetic analysis of dupilumab in adult and adolescent patients with asthma8
Physiologically‐based pharmacokinetics modeling to investigate formulation factors influencing the generic substitution of dabigatran etexilate8
Oncolytic viral kinetics mechanistic modeling of Talimogene Laherparepvec (T‐VEC) a first‐in‐class oncolytic viral therapy in patients with advanced melanoma8
Detecting placebo and drug effects on Parkinson's disease symptoms by longitudinal item‐score models8
Physiologically‐based pharmacokinetic modeling to predict drug interactions of lemborexant with CYP3A inhibitors8
Finding the right hazard function for time‐to‐event modeling: A tutorial and Shiny application8
Evaluation of drug–drug interaction potential for pemigatinib using physiologically based pharmacokinetic modeling8
Optimized sampling to estimate vancomycin drug exposure: Comparison of pharmacometric and equation‐based approaches in a simulation‐estimation study8
Estimands—What they are and why they are important for pharmacometricians8
Physiologically based pharmacokinetic modeling of levetiracetam to predict the exposure in hepatic and renal impairment and elderly populations8
A combined physiologically‐based pharmacokinetic and quantitative systems pharmacology model for modeling amyloid aggregation in Alzheimer's disease8
A quantitative systems pharmacology approach to support mRNA vaccine development and optimization8
Population pharmacokinetic analysis of rivaroxaban in children and comparison to prospective physiologically‐based pharmacokinetic predictions8
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 approach8
Quantitative systems pharmacology model of the amyloid pathway in Alzheimer's disease: Insights into the therapeutic mechanisms of clinical candidates8
Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study8
Pretomanid dose selection for pulmonary tuberculosis: An application of multi‐objective optimization to dosage regimen design7
Pharmacokinetic/pharmacodynamic modeling of drug interactions at the P2Y12 receptor between selatogrel and oral P2Y12 antagonists7
Application of longitudinal item response theory models to modeling Parkinson’s disease progression7
Quantitative systems pharmacology of the eye: Tools and data for ocular QSP7
Model‐informed target identification and validation through combining quantitative systems pharmacology with network‐based analysis7
Dose/exposure–response modeling in dose titration trials: Overcoming the titration paradox7
End‐to‐end application of model‐informed drug development for ertugliflozin, a novel sodium‐glucose cotransporter 2 inhibitor7
SARS‐CoV‐2 viral dynamic modeling to inform model selection and timing and efficacy of antiviral therapy7
Population pharmacokinetic model for once‐daily intravenous busulfan in pediatric subjects describing time‐associated clearance7
Minimal physiologically‐based hybrid model of pharmacokinetics in pregnant women: Application to antenatal corticosteroids7
Population repeated time‐to‐event analysis of exacerbations in asthma patients: A novel approach for predicting asthma exacerbations based on biomarkers, spirometry, and diaries/questionnaires7
Application of a dual mechanistic approach to support bilastine dose selection for older adults7
Physiologically‐based pharmacokinetic modeling of remdesivir and its metabolites in pregnant women with COVID‐197
Verifying in vitro‐determined enzyme contributions to cannabidiol clearance for exposure predictions in human through physiologically‐based pharmacokinetic modeling7
Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol7
Regulatory utility of mechanistic modeling to support alternative bioequivalence approaches: A workshop overview7
Establishing the suitability of model‐integrated evidence to demonstrate bioequivalence for long‐acting injectable and implantable drug products: Summary of workshop7
Model‐based prediction of effective target exposure for MEN1611 in combination with trastuzumab in HER2‐positive advanced or metastatic breast cancer patients7
Mechanistic modeling of generic orally inhaled drug products: A workshop summary report7
Performance of Cox proportional hazard models on recovering the ground truth of confounded exposure–response relationships for large‐molecule oncology drugs6
Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools6
Pharmacokinetic‐pharmacodynamic modelling of the anti‐FcRn monoclonal antibody rozanolixizumab: Translation from preclinical stages to the clinic6
Cytochrome P450 2D6 genotype–phenotype characterization through population pharmacokinetic modeling of tedatioxetine6
An age‐dependent mathematical model of neurofilament trafficking in healthy conditions6
A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics6
A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses6
Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I6
Evaluating the performance of machine‐learning regression models for pharmacokinetic drug–drug interactions6
Model‐informed drug development supporting the approval of the avelumab flat‐dose regimen in patients with advanced renal cell carcinoma6
Artificial intelligence–guided precision treatment of chronic kidney diseasemineral bone disorder6
Designing phase I oncology dose escalation using dose–exposure–toxicity models as a complementary approach to model‐based dose–toxicity models6
Increasing impact of quantitative methods and modeling in establishment of bioequivalence and characterization of drug delivery6
Does the choice of applied physiologically‐based pharmacokinetics platform matter? A case study on simvastatin disposition and drug–drug interaction6
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
R and nlmixr as a gateway between statistics and pharmacometrics6
Predicting changes in the pharmacokinetics of CYP3A‐metabolized drugs in hepatic impairment and insights into factors driving these changes6
Personalise vitamin D3 using physiologically based pharmacokinetic modelling6
Growth‐rate model predicts in vivo tumor response from in vitro data6
Early predictions of response and survival from a tumor dynamics model in patients with recurrent, metastatic head and neck squamous cell carcinoma treated with immunotherapy6
Virtual clinical trials: A tool for predicting patients who may benefit from treatment beyond progression with pembrolizumab in non‐small cell lung cancer6
Synthetic Model Combination: A new machine‐learning method for pharmacometric model ensembling6
Exposure–response analysis of efficacy and safety for pexidartinib in patients with tenosynovial giant cell tumor6
Regulatory utility of physiologically based pharmacokinetic modeling for assessing food impact in bioequivalence studies: A workshop summary report6
Population pharmacokinetics of mobocertinib in healthy volunteers and patients with non–small cell lung cancer6
Population pharmacokinetic analysis for tisotumab vedotin in patients with locally advanced and/or metastatic solid tumors6
CPT: Pharmacometrics & Systems Pharmacology – Inception, Maturation, and Future Vision6
Clinical decision support for chemotherapy‐induced neutropenia using a hybrid pharmacodynamic/machine learning model6
Sabatolimab (MBG453) model‐informed drug development for dose selection in patients with myelodysplastic syndrome/acute myeloid leukemia and solid tumors6
Proarrhythmic risk assessment of drugs by dVm/dt shapes using the convolutional neural network6
Population pharmacokinetics of liposomal irinotecan in patients with cancer and exposure–safety analyses in patients with metastatic pancreatic cancer6
Regulatory utility of physiologically‐based pharmacokinetic modeling to support alternative bioequivalence approaches and risk assessment: A workshop summary report6
Using physiologically‐based pharmacokinetic modeling for predicting the effects of hepatic impairment on the pharmacokinetics of olanzapine and samidorphan given as a combination tablet6
Applying interpretable machine learning workflow to evaluate exposure–response relationships for large‐molecule oncology drugs6
Development of a multiscale mechanistic modeling framework integrating differential cellular kinetics of CAR T‐cell subsets and immunophenotypes in cancer patients6
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