This 1.5 day workshop will be held at Cambridge Innovation Center (101 Main St Cambridge, MA)
June 6, 2018 1:00 pm – 5:30 pm
June 7, 2018 9:00 am – 5:00 pm

Course Instructors: Ahmed Elmokadem, Ph.D., Kyle Baron, Pharm.D., Ph.D., Matthew Riggs, Ph.D., Marc R Gastonguay, Ph.D.

Summary

This hands-on workshop will provide participants with a technical foundation for physiologically-based pharmacokinetic (PBPK) model development in R using mrgsolve, a free, open-source modeling and simulation platform for ODE-based model development in R (https://mrgsolve.github.io).  The workshop gets started with an introduction to simulation with mrgsolve. We’ll cover the essentials of a tidy simulation workflow in R. Then we’ll jump into PBPK modeling with mrgsolve. After a brief introduction to principles of PBPK, we’ll work through case studies using PBPK modeling.  The case studies use published models focused on problems like drug-drug interactions and exploring pharmacokinetics in special populations. Finally, we will introduce tools and workflows in R to help you accomplish modeling tasks such as sensitivity analysis and parameter estimation.

Topic outline of Workshop:

Day1 (1:00 PM – 5:30 PM) 

• Introduction
• PBPK concepts
• A tidy PBPK model-based simulation workflow in R

Day 2 (9:00 AM – 5:00 PM) 

• Case studies in PBPK modeling
  • Hands-on builds
    • A simple PBPK model
    • Scaling voriconazole PK: adults to pediatrics
  • Model-based mechanistic exploration
    • Site-specific considerations (e.g., gut vs. liver clearance)
    • Drug-drug interactions
• Applied modeling and simulation
  • Sensitivity analyses
  • Parameter estimation
  • Population simulation
  • Shiny app demonstration

Requirements for Attendees: Knowledge and experience in PK modeling and the use of R (or S-PLUS). Previous exposure to the mrgsolve simulation package (https://mrgsolve.github.io/) is helpful, but not required. Participants should bring a laptop that meets the following requirements:
– Browser: Chrome, Firefox, or Safari
– Internet access via Wi-Fi

Materials Provided: Course slides, data and code for all examples, online access for one week to a cloud-based compute server on which the software used in the course is installed.

Cost:
$1500 Industry
$750 Academia/Gov/NonProfit
$150 Student