Dear nmusers,

Are you looking to enhance your PK-PD modeling workflows with a faster and more flexible approach? At PAGE 2025, we invite you to our workshop on IMPRES-M, a novel method that leverages smoothing techniques with P-splines to efficiently describe PK and PD curves—allowing for simulation and extrapolation just like conventional modeling, but without the time-consuming model-building step.

We will host two versions of the workshop, one 1.5-day version where we have time to dive into theory and details, running Mon 2nd of June and Tue morning. Thereafter, on the afternoon of Tue 3rd of June 13:00, we will host the half-day workshop where we will cover the basics, which is still enough to get you started on IMPRES-M.

The venue is in the Concert Hall of Thessaloniki. For full details, see the PAGE website or below.

I hope to see you there!

Best regards,

Jeroen


_____________ 1.5-day hands-on workshop _______________


Date and time

Monday 2nd of June, 9:00-17:00

Tuesday 3rd of June, 9:00-12:00



Venue

Megaron, Thessaloniki Concert Hall (Main venue) – Room CR-3



Instructors

Workshop host: Jeroen Elassaiss-Schaap

Workshop tutors: Vincenzo Di Iorio, Lorenzo Cifelli, Csaba Katai and Jie Ju


Workshop description

In this workshop you will be presented with the theory behind IMPRES-M, and you will also get some hands-on experience fitting to data with IMPRES-M, either your own datasets or one provided by us. We will start off with general smoothing , followed by its application to single-subject PK curves, population modeling, and eventually PK-PD. Furthermore, we will present extensions that are under development so you will also get to know where we will be heading next!

Learning objectives:

 *

   Smoothing with P-splines: theory and practice (useful tool, widely
   applicable)

 *

   IMPRES-M theory for PK modeling

 *

   Hands-on single-subject PK modeling with IMPRES-M

 *

   Non-traditional population estimation (mixed effects) approaches

 *

   Hands-on population PK modeling with IMPRES-M

 *

   Hands-on PK-PD modeling with IMPRES-M

 *

   Ongoing research on IMPRES-M extensions



Target Audience

The target audience are PK or PK-PD modelers at beginner to advanced levels, who would like to extend their modeling toolkit.

Prerequisites

Attendees need to bring their own laptop with a recent version of R and Rstudio installed. Instructions to install IMPRES-M as an R package will be provided beforehand.



Registration Details

Link to register for our workshop: https://pretix.eu/pd-value/page25/

Fees for attendance are:

Student: 50€

Academy: 100€

Industry: 200€


_________________ half-day hands-on workshop ________________


Date and time

Tuesday 3rd of June, 13:00-17:00


Venue

Megaron, Thessaloniki Concert Hall (Main venue) – Room CR-3



Instructors

Workshop host: Jeroen Elassaiss-Schaap

Workshop tutors: Vincenzo Di Iorio, and Lorenzo Cifelli


Workshop description

In this workshop you will be presented by the background and theory, but you will also get your hands on fitting data with IMPRES-M, either your own or datasets provided by us. We focus on its application to single-subject PK curves. Furthermore we will present briefly about further capabilities, and extensions that are under development so you will also get to know where we will be heading next!


Learning objectives:

 *

   IMPRES-M theory for PK modeling

 *

   Hands-on single-subject PK modeling with IMPRES-M

 *

   Further IMPRES-M capabilities

 *

   Ongoing research on IMPRES-M extensions



Target Audience

The target audience are PK or PK-PD modelers at beginner to advanced levels, who would like to extend their modeling toolkit.

Prerequisites

Attendees need to bring their own laptop with a recent version of R and Rstudio installed. Instructions to install IMPRES-M as an R package will be provided beforehand.


Registration Details

Link to register for our workshop: https://pretix.eu/pd-value/singlesubject/

Fees for attendance are:

Student: 25€

Academy: 50€

Industry: 100€

--
http://pd-value.com
jer...@pd-value.com
@PD_value
+31 6 23118438
-- More value out of your data!


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