QSP Model Calibration
Learn how quantitative systems pharmacology models are calibrated to experimental and clinical data, including parameter estimation, objective functions, identifiability, residual error, validation, uncertainty, and practical calibration workflows.
Pathway Modeling for Drug Development
An introduction to pathway modeling for drug development, including biological pathways, mechanistic models, signaling networks, biomarkers, pharmacology, model calibration, and how pathway models support drug discovery and development.
Parameter Estimation for QSP Models
Learn how parameters are estimated in quantitative systems pharmacology models, including model calibration, objective functions, identifiability, sensitivity analysis, nonlinear least squares, likelihood-based estimation, Bayesian inference, uncertainty, and validation.
Ordinary Differential Equations in QSP Models
Learn how ordinary differential equations form the mathematical foundation of quantitative systems pharmacology models, including biological states, drug exposure, rates of change, feedback, turnover, disease progression, and mechanistic simulation.
Natural History and Disease Progression in QSP
Learn how natural history and disease progression are represented in quantitative systems pharmacology models, including disease states, biomarkers, progression rates, turnover, feedback, treatment effects, and longitudinal clinical outcomes.
Model Qualification for QSP
Learn how quantitative systems pharmacology models are qualified for their intended use, including context of use, model risk, verification, calibration, validation, sensitivity analysis, uncertainty analysis, and predictive performance.
Model Components, States, and Parameters in QSP
Learn how quantitative systems pharmacology models are built from components, states, parameters, inputs, and equations—and how these elements represent biological mechanisms and generate predictions.
Mechanistic Modeling in Drug Development
Learn how mechanistic models support drug development by representing drug disposition, pharmacology, disease biology, biomarkers, and treatment response using quantitative biological assumptions.
Mechanism of Action Modeling
Learn how mechanism of action modeling connects drug exposure to molecular targets, signaling pathways, cellular processes, biomarkers, and clinical outcomes using mechanistic PK/PD and QSP models.
Mass-Balance Equations in Mechanistic Models
Learn how mass-balance equations form the mathematical foundation of mechanistic pharmacokinetic, PK/PD, QSP, and PBPK models by tracking inputs, outputs, transport, and biochemical processes over time.