PAGE2018-Satellite-Workshop: Using R and Shiny to support efficient PK/PD and QSP modeling, parameter estimation, simulation, and reporting in Word


PAGE 2018 Meeting, May 28 Monday, 08:00-17:00
Salon Victoria, Hotel Eden Palace au Lac, Rue du Théâtre 11, 1820 Montreux [View Map]

Workshop Description

IntiQuan is running a full day hands-on workshop on PK/PD and QSP modeling, simulation, and parameter estimation in the open-source and freely available R environment. The major topics covered are:

  • Morning session
    • PK, PKPD, QSP modeling in R. Description of models and simulation
    • Reuse of models from model databases – import of SBML models to R
    • NLME parameter estimation in NONMEM, MONOLIX, SAEMIX, & NLMIXR
    • Generation of model diagnostics and model development tables
    • Automatic reporting of modeling and simulation results in Microsoft Word
    • Using R Shiny for PK modeling and reporting
  • Afternoon session
    • Introduction to a realistic QSP modeling example
    • Robust parameter estimation based on sensitivity equations and multi-start optimization in R
    • Analyzing models, informing modeling decisions, using profile likelihood
    • Advanced simulation in R
    • Doing QSP modeling and parameter estimation in R Shiny

After the workshop the participants will be able to write PK, PK/PD and more mechanistic QSP models, simulate them, and perform parameter estimation in supported NLME tools (such as NONMEM, MONOLIX, SAEMIX, and NLMIXR), and using a QSP type of parameter estimation method. Furthermore, participants will be able to generate standard model diagnostics and export all results to Microsoft Word.

The workshop is designed as a hands-on tutorial, allowing participants to work through all examples under guidance of the presenters. All material (slides, example models, R code, required R libraries, and additional software) will be shared with the participants. In case a participant would like to have hands-on experience during the workshop, a laptop with an R installation should be brought to the workshop. Some examples will use NONMEM and/or MONOLIX at the backend for parameter estimation, so it would be good if either of these tools were installed already. In the case that neither is available, the examples can be run with the open-source and freely available SAEMIX or NLMIXR R packages instead. No prior knowledge of either NONMEM, MONOLIX, SAEMIX, or NLMIXR is required. Basic knowledge of NLME modeling and R is of advantage.

Workshop location:

Salon Victoria
Hotel Eden Palace au Lac
Rue du Théâtre 11
1820 Montreux
[View Map]

Contact: For more information, regarding the workshop, please contact IntiQuan (info@intiquan.com).

Registration

The regular workshop fee is 180 EUR. This includes workshop material, coffee breaks, and lunch. Students, Academia or Non-profit employees may enroll at a fee of 90 EUR. Payment can be done conveniently and securely via PayPal, here below:


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Refund policy: No refunds.

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Program

May 28th Monday
Time Topic Presenter
8:00-8:15 Welcome and Introduction Willi Weber
8:15-10:00
  • PK, PKPD, QSP modeling in R. Description of models and simulation.
  • Reuse of models from model databases – import of SBML models.
Henning Schmidt
10:00-10:15 Coffee break
10:15-12:00
  • NLME parameter estimation in NONMEM, MONOLIX, SAEMIX, & NLMIXR
  • Generation of report-ready model diagnostics, parameter estimates tables, and model development tables
  • Using R Shiny for PK modeling and reporting
  • Reporting to Microsoft Word
Henning Schmidt
12:00-13:00 Lunch
13:00-15:00
  • Introduction to a realistic QSP modeling example
  • Robust parameter estimation in QSP based on sensitivity equations and multi-start optimization
Daniel Kaschek
15:00-15:15 Coffee break
15:15-16:45
  • Analyzing models, informing modeling decisions, using profile likelihood
  • Advanced simulation
  • Doing QSP modeling and parameter estimation in R Shiny
Daniel Kaschek
16:45-17:00 Concluding remarks

Henning Schmidt

Daniel Kaschek

Presenters

  Daniel Kaschek, PhD, IntiQuan GmbH

Daniel Kaschek is an experienced modeler working in the field of Quantitative Systems Pharmacology and Systems Biology since 2008. Over the past years, he has actively worked on the developed of novel mathematical and statistical approaches to data analysis and parameter estimation in ordinary differential equations with applications in Quantitative Systems Pharmacology and Systems Biology. He is an enthusiast R package developer, authoring several open-source packages on Data pre-processing and dynamic modeling.

  Henning Schmidt, PhD, IntiQuan GmbH

Engineer by training with a long background in modeling of a wide range of general linear and non-linear systems (automotive & process industry, biological, physiological, and pharmacological systems), using both modeling and simulation results as a basis for impactful quantitative support of decision making in large and small, early and late phase drug development projects. Developer of several open source tools for modeling and simulation across Pharmacometrics, Systems Pharmacology, and Systems Biology.

  Willi Weber, MD, PhD, Privatdozent