DosePredict

DosePredict predicts dosing regimens and pharmacokinetic behavior using 1-, 2-, and 3-compartment pharmacokinetic models and stochastic simulations to support dose selection in drug development.

Key Features:

• Pharmacokinetic Modeling: Implements 1-, 2-, and 3-compartment pharmacokinetic (PK) models for dose prediction.
• Stochastic Simulations: Performs stochastic simulations for a specified number of subjects to assess variability in PK and dose outcomes.
• Detailed Outputs: Generates PK and dose prediction outputs as graphical plots and tabular data.
• HTML Report Generation: Produces an HTML report that records input parameters, variables, output plots, and tables.

Scientific Applications:

• Dose Selection in Drug Development: Supports selection and refinement of dosing regimens during drug discovery and development.
• Preclinical-to-Clinical Translation: Integrates preclinical and/or clinical data to iteratively refine dose predictions for translational decision making.
• Dosing Optimization and Safety: Enables optimization of dosing regimens to minimize adverse effects and enhance therapeutic efficacy.
• Individualized Dosing Strategies: Facilitates scenario exploration and variability analysis to inform individualized or precision dosing approaches.

Methodology:

DosePredict applies 1-, 2-, and 3-compartment PK models and executes stochastic simulations across a specified number of subjects after model selection and input of parameters and variables, then outputs graphical plots, tabular data, and an HTML report.