Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).

PySB add-on providing domain-specific macros and models for empirical and mechanistic PK/PD modeling.

This GitHub repository serves as documentation and reproduction source for our article: Augustin D, Lambert B, Robinson M, Wang K, Gavaghan D (2023) Simulating clinical trials for model-informed precision dosing: Using warfarin treatment as a use case.

PySB add-on providing utilities to add units to models and perform dimensional analysis.

This GitHub repository serves as documentation and reproduction source for our article: Augustin D, Lambert B, Wang K, Walz A-C, Robinson M, Gavaghan D (2023) Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data. PLoS Comput Biol 19(5): e1011135.

Semi-mechanistic PK/PD model of radioligand therapy implemented in PySB with pysb-pkpd and pysb-units.

This repository holds the models discussed in the IFN-alpha paper: PCOMPBIOL-D-25-00342.

Interactive PK/PD simulator for 18 hospital antimicrobials — educational tool for dose optimization

MATLAB and Python (Google Colab-oriented) pharmacokinetic models

Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model of canagliflozin

Apache Arrow Dataset-Backed Simulation Outputs for mrgsolve

Shiny Application for a PK-Platelet-GDF15 Model

Benchmark-backed hybrid AI/ML covariate screening toolkit for population PK/PD, combining explainable ML, penalized confirmation, and SCM-style bridging.