Satellite Events​​​​​​​​​​​​​​​​​

Satellite workshops:

• Onsite In-Silico Clinical Trials with NLME Models | PumasAI

• Pre-Conference Workshop on Certara IQ™ – A revolutionary tool for Scalable QSP modeling | Certara

• Satellite Workshop QSPC - Building Scalable PBPK-QSP Models | ESQlabs

• InSysBio Workshop: Engineering-Style QSP Modeling with Heta | InSysBio

• Hands-on workshop on use of IMPRES-M® in PK modeling | PD-Value

• Collaboration and Automated Testing Workflows for Software Development in MATLAB & SimBiology | Mathworks

More information and registration information below

Onsite In-Silico Clinical Trials with NLME Models | PumasAI

When: April 7, 2026 | 9 AM – 5 PM

Where: Golden Tulip & Tulip Inn Leiden Centre

Registration: https://www.eventbrite.com/e/onsite-in-silico-clinical-trials-with-nlme-models-leiden-netherlands-tickets-1980170903477

Overview

A Hands-On Workshop for Building and Validating In Silico Clinical Trials in Pumas

Description

Learn to design and execute In Silico Clinical Trials (ISCTs) using Pumas and Julia. This intensive one-day workshop guides participants through a complete 7-step ISCT workflow—from building mechanistic QSP models to generating calibrated virtual populations and running virtual clinical trials. Using two disease models (tumor burden and HBV), participants will be introduced to copula sampling, MILP-based population calibration, global sensitivity analysis, and bootstrap inference for treatment effect estimation. Hands-on exercises ensure you leave with practical skills to apply ISCTs to your own drug development programs. ISCTs represent a powerful paradigm shift in drug development, enabling researchers to simulate clinical outcomes across diverse virtual patient populations before committing resources to expensive real-world trials. This workshop provides a comprehensive, hands-on introduction to the complete ISCT workflow using Julia and the Pumas pharmacometrics platform. Based on the methodology published in CPT: Pharmacometrics & Systems Pharmacology (Cortés-Ríos et al., 2025), this workshop translates a validated 7-step framework into practical skills. Participants will work through two progressively complex disease models: a tumor burden model that introduces core concepts, and an 11-ODE Hepatitis B virus (HBV) QSP model that demonstrates real-world complexity.

What You Will Learn

• Build QSP Models in Pumas with NLME parameterization

• Conduct Global Sensitivity Analysis (Sobol, eFAST)

• Generate Virtual Populations using copula sampling

• Calibrate to Clinical Data with MILP methods

• Run Virtual Clinical Trials with treatment phases and endpoints

• Quantify Uncertainty using bootstrap inference

Who Should Attend

• Pharmacometricians transitioning to QSP modeling

• Quantitative systems pharmacologists building virtual patient workflows

• Clinical pharmacologists designing virtual trials

• Computational biologists working on drug development pipelines

• Anyone interested in leveraging in silico methods for clinical trial optimization

Pre-Conference Workshop on Certara IQ™ – A revolutionary tool for Scalable QSP modeling | Certara

When: April 7th, 2026 | 11:30 AM – 5 PM

Where: Fletcher Wellness-Hotel Leiden (Bargelaan 180, 2333 CW Leiden, Netherlands)

Registration: https://www.certara.com/conference/quantitative-systems-pharmacology-conference/

Agenda:

11:30 AM Registration and Lunch

1 PM – 5 PM Workshop

Lunch, snacks, and coffee provided.

With hundreds of FDA and EMA submissions supported by QSP models, QSP has finally come of age. The now-proven high return of investment from QSP has led to every major pharma company and a significant number of biotechs investing in QSP groups or partnering with QSP vendors. However, the vast majority of preclinical and clinical programs are still not supported by QSP. At this point, we see this not as a limitation of the value of QSP but as a challenge for implementing QSP at scale.

This workshop will unveil Certara IQ™, an innovative QSP environment that enables the scaling of QSP from only supporting a small minority of projects to supporting the entire pipeline. We will focus on four key decision points in the drug development pipeline:

• New Target Feasibility

• Determining Best in Class Properties

• First In Human Dose Projection

• Recommended Phase 2 Dose

For each, we will demonstrate how to use Certara IQ™ to efficiently answer these questions with practical examples.

Satellite Workshop QSPC - Building Scalable PBPK-QSP Models | ESQlabs

When: April 7, 2026 | 9 AM – 5 PM

Where: Golden Tulip Leiden Centre Hotel

Registration: https://shop.esqlabs.com/products/satellite-workshop-qspc-building-scalable-pbpk-qsp-models

Description:

The latest OSP Suite V12 introduces a revolutionary modularization approach that significantly enhances the flexibility, scalability, and efficiency of quantitative systems pharmacology (QSP) modeling and integrations with physiologically-based PK (PBPK-QSP). This full-day hands-on workshop will equip participants with the skills to leverage modular workflows in MoBi to build, extend, and refine PBPK-QSP models like never before.

During this workshop, attendees will start with a simple two-compartment model to grasp the fundamentals of modularization before diving into a real-world case study: modeling an ADC modality for tumor treatment. Participants will:

• Develop a PBPK model for the large molecule and small molecule payload.

• Modularization 1: adding a Target-Mediated Drug Disposition reaction network as a reaction extension module.

• Modularization 2: adding a tumor organ as a physiological extension module.

• Modularization 3: Implement a pharmacodynamic effect extension module to simulate tumor growth inhibition.

• Work with separate modules to demonstrate how modular workflows streamline model management, reuse, and extension.

By the end of the workshop, attendees will master the new modular approach in MoBi, learning how to efficiently build and manage complex models in a structured way. While automated model qualification will be touched upon as an outlook, the focus will be on hands-on modeling and modularization techniques that enhance collaboration, transparency, and reusability in PBPK-QSP modeling.

InSysBio Workshop: Engineering-Style QSP Modeling with Heta | InSysBio

When: April 7, 2026 | 1 PM – 5 PM

Where: Golden Tulip & Tulip Inn Leiden Centre

Registration: https://www.eventbrite.com/e/insysbio-workshop-engineering-style-qsp-modeling-with-heta-tickets-1982350810638

Description:

This workshop introduces an engineering-oriented approach to quantitative systems pharmacology (QSP) modeling using the Heta language and its associated tools. The session focuses on how structured, modular, and process-based model descriptions can improve transparency, reuse, and reproducibility compared to traditional monolithic ODE-based workflows. Participants will be introduced to the core concepts of the Heta language, including process-based model formulation, modularization, and alternative model representations, with an emphasis on how these ideas support scalable QSP workflows rather than on detailed syntax or implementation.

The workshop demonstrates how Heta models are used in practice: from model specification to translation into standard formats and execution with different simulation tools. The session includes guided demonstrations of model conversion using the Heta compiler, basic simulation workflows with HetaSimulator, and an overview of a typical Heta project structure. Short, optional hands-on segments are included for participants who wish to follow along, while others may simply observe the demonstrations. The workshop is intended as an accessible entry point for researchers interested in engineering-style QSP workflows and evaluating whether such an approach fits their existing modeling practice.

What You Will Learn

• The core principles of the Heta language for QSP modeling, including process-based model formulation and modular model structure

• How Heta models can be translated into multiple standard formats using the Heta compiler and integrated with existing modeling environments

• The basic workflow for running simulations and structured experiments using HetaSimulator

• The typical organization of a Heta project, including model, module, and scenario components

• Practical considerations for applying an engineering-style workflow to real-world QSP modeling tasks

Who Should Attend

• Students and early-career researchers who want an accessible introduction to structured, code-based QSP model development

• Practicing QSP modelers interested in improving flexibility, modularity, reproducibility, and scalability of their modeling workflows

• Scientists and developers who work with QSP models across multiple tools/formats and want a more systematic way to organize, reuse, and translate models

Hands-on workshop on use of IMPRES-M® in PK modeling | PD-Value

When: April 10, 2026 | 1 PM – 5 PM

Where: Golden Tulip Hotel, Leiden

Registration: https://pretix.eu/pd-value/impresmqspc/

Would you like to learn how to use the brand-new IMPRES-M methodology to estimate PK models “without the model”? Come join us for this half-day workshop where you will learn about the theory behind the impulse-response framework, and where you will get hands-on experience on how to use it.

Description

Population PK modeling is a major interest among the PAGE community. With IMPRES-M, we have proudly established a new approach to describing pharmacokinetic (PK) and pharmacodynamic (PD) curves by smoothing rather than modeling, such as compartmental or differential-equation based modeling. This is achieved in a framework that allows simulation and extrapolation, similar to what is available in compartmental models. You therefore can be more efficient in your modeling workflows!

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 start off with its application to single-subject PK curves. Thereafter we will, as a premiere at QSPC2026, continue with population modeling.  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

• Hands-on population PK 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.

Instructors

Workshop host: Jeroen Elassaiss-Schaap

Workshop tutors: Vincenzo Di Iorio, and Lorenzo Cifelli

Fees for attendance are:

Student: 25€

Academy: 50€

Industry: 100€

Collaboration and Automated Testing Workflows for Software Development in MATLAB & SimBiology

When: April 7, 1-5pm

Where: Fletcher Wellness-Hotel Leiden

Registration: https://www.mathworks.com/company/events/seminars/collaboration-and-automated-testing-workflows-5208800.html

Description 

As more SimBiology users collaborate on building models and writing customized code, modern software development practices like version control, automated testing, and CI/CD (continuous integration / continuous deployment) are becoming essential for ensuring reliability and reproducibility.

In this hands-on workshop, you will learn how to apply best practices for collaborative model development and analysis workflows that are automatically tested. Using  a web application for simulating a SimBiology model, we will demonstrate how Git-based workflows, the MATLAB Build Tool, and CI systems such as GitHub Actions and GitLab CI can help speed up development by allowing multiple team members to contribute to the same project, while also maintaining code quality by automatically ensuring that new code contributions do not break the existing codebase.

What you will learn

·         How to use automated testing to detect bugs early and prevent regressions after code changes

·         How to run MATLAB and SimBiology in CI systems

·         How to effectively use the MATLAB Build Tool to enforce consistent build sequences and skip unnecessarily rebuilds

·         How to compare SimBiology models developed by collaborators and resolve merge conflicts efficiently.

Fees: Free of charge.

Prerequisite: Knowledge of MATLAB and SimBiology is required. Basic knowledge of Git workflow would be beneficial.