2020 EDISON 경진대회 최우수상 수상: "항체의약품 TMDD 모델링을 위한 Edison 앱의 활용"

PSM - Population Stochastic Modelling

MM Simulation by Prof.Lim

Shiny-based application for personalized dosing of flucloxacillin

Convert Monolix models to nlmixr2/rxode2 models

R client to the Rx Studio APIs.

Edison 2018 경진대회

Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials

[reproduced] QSP modeling platform describing Fatty Acid Amide Hydrolase inhibition in human

nlme 예제 코드를 실행한 결과를 정리하였습니다. Mixed-Effects Models in S and S-PLUS https://asancpt.github.io/nlme

A simple model of alcohol PK build on published data

Open Python Web App for Pharmcological Modeling and Analysis

The Official Blog of Sungpil Han, M.D./Ph.D.

Modeling and Simulation을 이용한 Special population에서의 약물 인허가 현황과 관련규정 https://pipetcpt.github.io/book-special-population

Edison App: pk1cEdison:

😩 OBSOLETE! R package: Noncompartmental Analysis of Pharmacokinetic Data for CDISC Standardized Parameters

😄 Edison App: Monte Carlo Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model

A Shiny app for PMX QC

Home Page of Prof G P S Raghava, group work in the field of bioinformatics, chemoinformatics and pharmacoinformatics. Mainly developed databases and prediction methods using machine learning techniques

Este repositorio se enfoca en automatizar la extracción y análisis de datos farmacocinéticos de diversas fuentes, con el fin de obtener una base de datos integral y estandarizada de información farmacocinética junto con los scripts de creación y análisis, dirigidos a resolver los retos de la individualización en farmacología actuales.