Simulate responses to biological variability or different dosing conditions, scan parameter ranges, calculate sensitivities
Simulate the dynamic behavior of a model using a variety of deterministic and stochastic solvers. You can model biological variability by simulating alternate scenarios and what-if hypotheses without creating multiple copies of a model. Explore different dosing strategies such as bolus and infusion doses and determine the optimal dosing strategy by combining different dosing schedules. You can also perform parameter sweeps and sensitivity analysis to investigate the influence of model parameters and initial conditions on model behavior.
- Simulate Responses to Biological Variability and Doses
Simulate biological variability to compare animal species, strains, or experimental conditions, and investigate different dosing strategies
- Scan Parameter Ranges
Explore simulation results over ranges of quantity values
- Perform Sensitivity Analysis
Determine which model components are sensitive to specific conditions or drugs using local and global sensitivity analyses such as Sobol indices, elementary effects, and multiparametric GSA