Population Experimental Design (PopED) in R
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Updated
Nov 21, 2023 - 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)
Predicting pharmacodynamic responses to cancer drugs using cell morphology
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
PySB add-on providing domain-specific macros and models for empirical and mechanistic PK/PD modeling.
📝 2016, 2017, 2018, 2019 서울아산병원 임상약리학과에 실습 나온 것을 환영합니다. 서브인턴들의 교육을 위해 필요한 자료를 모아두었습니다.
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.
R을 통한 비구획분석 ncar 실습 교재입니다. https://asancpt.github.io/handout
PK/PD framework to assess the pharmacological properties of Islatravir (ISL)
가톨릭대학교 의과대학 약리학교실, Department of Pharmacology, College of Medicine http://pharmacology.catholic.ac.kr
Pharmacodynamic and pharmacokinetic models that explore tumor and vasculature growth with anti-angiogenic agents and chemotherapeutic agents.
가이드라인: 임상시험의 통계 원칙 - 식품의약품안전처 식품의약품안전평가원 의약품심사부 의약품심사조정과 https://pipetcpt.github.io/book-stat
Simulate the absorption and elimination of drugs in real time using pharmacokinetic formulas.
💊 Conceptual custom GPT that simulates the pharmacokinetics and pharmacodynamics of drugs.
Non-compartmental pharmacokinetics analysis for Julia.
Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials
PK-PD를 연구하는 젊은 과학자들의 학문적 교류와 연구 활성화를 위한 정기적 집담회 https://pipetcpt.github.io/myster
Project archive for the Systems Pharmacology & Personalized Medicine course at JHU during Spring 2021 Semester
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