Advanced GastroPlus® DMPK & Clinical Pharmacology
GastroPlus® “Workshop from Home” April 16 Transporters in PBPK modeling with Ke Szeto
Advanced GastroPlus® DMPK & Clinical Pharmacology
GastroPlus® “Workshop from Home” April 15 DDI predictions with John DiBella
Advanced GastroPlus® DMPK & Clinical Pharmacology
GastroPlus® “Workshop from Home” April 14 Special population predictions with Viera Lukacova
Advanced GastroPlus® DMPK & Clinical Pharmacology
GastroPlus® “Workshop from Home” April 13 GastroPlus® Introduction with Maxime Le Merdy
Introductory GastroPlus® Simulation and Modeling
Feature of the week #85: Modeling exposure-response curves
Exposure-response curves give the response to a drug as a function of exposure, which can be the dose or a measure of drug...
Early assessment of PK properties with the ADMET Predictor® HTPK Simulation module, a high-throughput mechanistic PBPK approach
This webinar introduces how the ADMET Predictor® HTPK Simulation module can effectively be used to provide early PK assessment in discovery programs.
Live Stream Learning with Simulations Plus: Day One
Bringing you scientific talks & poster presentations you missed from the 59th Annual SOT/Tox Expo and American Society for Clinical Pharmacology & Therapeutics conference by Simulations Plus… virtually.
Clinical DILI and State-of-the-Art Solutions
Translating in vitro safety data into quantitative risk assessment in specific patient populations remains a challenge.
Feature of the week #84: VPC for time-to-event data
VPC of survival data is a crucial diagnostic plot in the modeling of time-to-event data
Feature of the week #83: Several ways to handle the baseline of PD models
The baseline of PD models can be estimated as a model parameter, fixed to the observed value or a mixture of both.
Feature of the week #82: Kaplan-Meier estimator
Have you ever wondered how the survival function is estimated from time-to-event data?
Feature of the week #81: Efficient alternative implementation for common equations including delays
Delayed differential equations (DDEs) can be implemented in Mlxtran language using the "delay" function.
GastroPlus® Tutorial: Getting Started with GastroPlus – A Software Introduction
Maxime LeMerdy introduces GastroPlus 9.7 interface and walks you through each tab.
Feature of the week #80: Understanding and using the Monolix ‘proposal’
Monolix is able to use the individual parameters of the current run to pre-test several covariate, correlation and error models
Prediction of pH-Dependent Drug-Drug Interactions for Basic Drugs using PBBM Modeling: Industry Case Studies
Acid-reducing agents (ARA) such as antacids, histamine H2-receptor antagonists, and proton pump inhibitors are widely prescribed in several disease states.
Feature of the week #79: Understanding and using the statistical tests in Monolix
The statistical tests complement the diagnostic plots to guide the user in the development of the statistical model.
Feature of the week #78: Creating a custom theme for Monolix plots
You can create one or several custom themes and apply it to all Monolix plots when appropriate, and even share...
Feature of the week #77: Generating predictive checks on an external data set
Following last week’s video, this video focuses on another example of analysis that can be done by using a population model estimated...
Feature of the week #76: Calculate EBEs for a new data set using an existing model
Population parameters estimation is an obligatory task and has to run before any other task.