Open-source nonlinear mixed-effects (NLME) modeling engine for population PK/PD and pharmacometrics, with FOCEI, SAEM, analytical PK, and ODE models.
Turn any AI agent into a clinical pharmacologist and pharmacometrician. It reviews, reconciles, and prepares evidence. It never selects a dose, signs off, or submits.
Modeling and Simulation을 이용한 Special population에서의 약물 인허가 현황과 관련규정 https://pipetcpt.github.io/book-special-population
Documentation for ferx, an open-source NLME platform for population PK/PD with an R package and high-performance Rust engine.
Bayesian population PBPK modeling with Metropolis-Hastings MCMC — posterior distributions, predictive checks, convergence diagnostics (Python + R)
Tidy parsing of NONMEM listing files (.lst) into tibbles — extracts THETA, OMEGA, SIGMA, OFV, condition number, and ETA shrinkage for population PK/PD workflows
R Shiny application for NONMEM workflows: create control streams, run NONMEM models, explore data and results, generate diagnostic plots and GOF, compare runs, and perform VPC, jackknife and sensitivity analyses.
Benchmark-backed hybrid AI/ML covariate screening toolkit for population PK/PD, combining explainable ML, penalized confirmation, and SCM-style bridging.
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