QSP modeling in R
Thursday, October 24th, 2019 1:30 pm – 5:30 pm, at the Rosen Shingle Creek Hotel in Orlando, FL.
IntiQuan is running a half-day hands-on workshop on QSP modeling, simulation, parameter estimation and enhanced QSP modeling with variability. The presented IntiQuan tools to perform QSP modeling are implemented and fully embedded in the open-source and freely available R environment. The major topics covered are:
- QSP modeling in R – description of models and simulation
- Reuse of models from model databases – import of SBML models to R
- 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
After the workshop, the participants will have learned to write their own mechanistic QSP models, simulate models, graphically explore their data, and perform parameter estimation using the functionality provided by IQR Tools.
The workshop is designed as a hands-on tutorial. Each topic will first be presented on slides and will be illustrated based on realistic examples. Between topics, the participants will have the chance to implement and reproduce the different modeling steps on their own resorting on a provided example model that is suitable for the workshop. IntiQuan personnel will be around at all time to support the participants.
Participants are supposed to bring their laptops. Ideally, R and IQR Tools should be installed before the workshop. Participants will receive installation instructions before the workshop and are encouraged to contact the presenters for support to setup IQR Tools on their system.
Basic knowledge of writing scripts in R is of advantage.
|October 24th Thursday|
|13:30 – 13:45||Welcome and Introduction||Daniel Kaschek|
|13:45 – 15:45||
|15:45 – 16:00||Coffee break|
|16:00 – 17:30||
* Exact agenda and content is subject to small changes to adapt to new developments and profile of the audience
|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
Henning Schmidt is an expert in Model-Informed Drug Development with over fourteen years of industry experience. He has been supporting projects from target validation in the early phases of drug discovery to study design for post-marketing commitments. During the last years, he has provided decision-making support to drug discovery and development teams in various therapeutic areas, including oncology, dermatology, immunology, respiratory, bone and muscle wasting diseases. This has led to several go/no-go decisions on the progression of novel drugs through their development cycle and successful registrations. Henning received undergraduate education at Darmstadt University, Germany and SUPELEC in Paris, France. He obtained his PhD in Control Theory and Systems Biology at the Royal Institute of Technology in Stockholm, Sweden. He has worked for Fraunhofer Chalmers Research Center (Gothenburg, Sweden) and Novartis Pharma AG (Basel, Switzerland) prior to founding IntiQuan in 2015.
Workshop location: The workshop will be held at the Rosen Shingle Creek Hotel in Orlando, FL, which is the venue for the ACoP10 meeting.
Workshop fee: Regular fee 350 USD. This includes workshop material, coffee breaks, and lunch. Students/Academia/Government/Non-profit employees may enroll at a fee of 200 USD.
Registration: This is a post-meeting workshop that requires registering for the ACoP 2019 meeting. Please register ASAP in view of the limited course capacity.
Contact: Henning Schmidt, IntiQuan GmbH, Spalenring 150, 4055 Basel, Switzerland; Phone: +41 76 603 28 06; Email: firstname.lastname@example.org.