Pharmpy [1] is an open-source software package for pharmacometric modeling intended for scripting of pharmacometric workflows and automated model development….
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Extending the open source saemix package to multiple responses and complex models
Introduction: Quantifying the sources of individual variability in drug concentrations through non-linear mixed effect models (NLMEM) has proven instrumental in…
Read moreCYTOCON AND FIVEDB: FREELY ACCESSIBLE DATABASES FOR STREAMLINING QSP MODEL CALIBRATION AND VALIDATION
Objectives: Quantitative Systems Pharmacology (QSP) model development requires extensive data for calibration and validation, yet sourcing these data from literature…
Read moreOpen source software from the Uppsala University Pharmacometrics group
The Uppsala University pharmacometrics group develops and maintains several different open-source software packages. ncappc – Performs traditional non-compartmental analysis (NCA)…
Read moreExecuting >100,000 Model Fits: Scalable and Reproducible Pharmacometric Workflows Using NLME/RsNLME
Objectives Pharmacometric analyses increasingly rely on complex nonlinear mixed-effects (NLME) modeling, large-scale simulations, and simulation-based inference to support study design,…
Read morerock and roll – Deliverables driven by standardized data specifications
Objectives: The process of creating analysis-ready data deliverables is a vital part of any pharmacometrics workflow, but is prone to…
Read moreOpenPMX software for simulation and estimation in pharmacometrics
Introduction: Nonlinear mixed-effects models are fundamental to pharmacometrics, and the first-order conditional estimation with interaction (FOCE-I) method implemented in NONMEM[1]…
Read morenmbench: An Integrated Text-Editor–Based Environment for NONMEM Population Modeling and Simulation
Objectives: NONMEM remains the gold standard for population pharmacokinetic/pharmacodynamic (PK/PD) modeling and simulation. Despite its analytical robustness, routine modeling workflows…
Read moreAutomatic digitization of time series plots from published sources with EVA application
Objectives: Extraction of quantitative data from published figures is a necessary but dreary and severely time-consuming step that follows systematic…
Read moreArtificial Intelligence/Machine Learning (AI/ML) SubSIG of SxP: A collaboration to advance Pharmacometrics using AI/ML methods
The Artificial Intelligence and Machine Learning Sub Special Interest Group (AI/ML SubSIG) of the ISoP–ASA Statistics and Pharmacometrics (SxP) SIG…
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