Population Experimental Design (PopED) in R
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Updated
Oct 8, 2024 - R
Population Experimental Design (PopED) in R
Simulate PK-PD models defined as ODE systems
PIPET 수련생을 위한 실습교육자료입니다. (R, NCA, Rmarkdown, data science, 임상시험, 약동학/약력학, 논문발표 등)
Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).
Software tool for the compilation of Heta-based QSP modeling platform
Predicting pharmacodynamic responses to cancer drugs using cell morphology
Non-compartmental pharmacokinetics analysis for Julia.
Description of work done at Merck pharmaceutical company in the summer of 2018 as a Computational Drug Discovery Intern at West Point, PA. Information excludes all proprietary information belonging to Merck & Co.
📝 2016, 2017, 2018, 2019 서울아산병원 임상약리학과에 실습 나온 것을 환영합니다. 서브인턴들의 교육을 위해 필요한 자료를 모아두었습니다.
PySB add-on providing domain-specific macros and models for empirical and mechanistic PK/PD modeling.
Project archive for the Systems Pharmacology & Personalized Medicine course at JHU during Spring 2021 Semester
가이드라인: 임상시험의 통계 원칙 - 식품의약품안전처 식품의약품안전평가원 의약품심사부 의약품심사조정과 https://pipetcpt.github.io/book-stat
R을 통한 비구획분석 ncar 실습 교재입니다. https://asancpt.github.io/handout
Simulate the absorption and elimination of drugs in real time using pharmacokinetic formulas.
서울아산병원 임상약리학과에서 운영하는 http://r.acr.kr 는 R 패키지 리포입니다. CRAN에 공개하기 전, 본 기관에서 개발한 패키지의 개발 버전이 올라옵니다. 또한 기존 패키지를 용도에 맞게 변형한 fork를 올리고 있습니다.
가톨릭대학교 의과대학 약리학교실, Department of Pharmacology, College of Medicine http://pharmacology.catholic.ac.kr
PK-PD를 연구하는 젊은 과학자들의 학문적 교류와 연구 활성화를 위한 정기적 집담회 https://pipetcpt.github.io/myster
Simulation of pharmacodynamic models of drug-GPCR (class A) interactions.
💉 FarmacoDB es un proyecto que 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 de modelos predictivos sobre valores farmacocinéticos.
A bunch of PK/PD patient models with various diseases for open-/closed-loop control systems
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