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Introduction to PBPK modeling in R with mrgsolve

October 11, 2018 @ 1:00 pm - October 12, 2018 @ 5:00 pm

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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.

October 11-12, 2017 (1.5 day ACoP9 satellite workshop)

Course Instructors: Ahmed Elmokadem, Ph.D. and Kyle Baron, Pharm.D., Ph.D.

Topic outline of Workshop:

  • PBPK concepts
    • Why PBPK?
    • Types of PBPK models (flow-limited and permeability-limited)
    • Development of model equations
    • Databases for PBPK model parameters
  • Introduction to mrgsolve for PBPK modeling
    • A tidy PBPK model-based simulation workflow in R
    • Implement dosing events
    • Customize simulation output
    • Approaches to sensitivity analysis with mrgsolve
    • Model specification basics
  • Case studies in PBPK modeling
    • Statin/cyclosporine DDI model (Yoshikado et al. 2016, PMID 27170342)
    • Pediatric voriconazole PBPK model (Zane and Thakker 2014, PMID 25245942)
  • PBPK modeling workflow in R
    • Sensitivity analyses
      • Exploratory simulation
      • Local sensitivity analysis
      • Global sensitivity analysis via sobol method
    • Parameter estimation
      • General optimization in R
      • Global search tools
  • Discussion and wrap-up

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.  

Materials Provided by Sponsor: 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.

Pricing:
Industry $1,050
Academia/Gov/NonProfit $600
Student $375

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