Model-Based Meta-Analysis (MBMA): Concepts, Methodologies, and Hands-on Workshop
Date: Tuesday, June 2nd
Time: 8:00 – 17:00
Venue: Valamar President Hotel – Olipa 2
Description:
Attendees of this one-day workshop will learn about model-based meta-analysis (MBMA) – starting with the basic principles of meta-analysis and moving toward detailed applications of complex MBMA methodologies. Concepts will be explained using case studies, accompanied by detailed hands-on exercises based on Certara’s CODEx software platform, R scripts and real datasets
Some critical topics include:
- MBMA of binary and continuous data
- Dose-response relationships
- Longitudinal data
- Exploration of covariate effects
- Joint MBMA of multiple endpoints
- Methodological aspects
– Relative effect vs absolute outcome modeling
– Unstructured (nonparametric) placebo methodology
– Prognostic vs. predictive covariates
– Random effects and weighting of data
– Data transformations
Fees:
Cost: €250 Student / €500 non-student
For further information please email Matt Zierhut at matt.zierhut@certara.com.
Maximum of 30 participants
Certara: QSP at Scale with Certara IQ™
Date: Tuesday, June 2nd
Time: 11:30 AM – 5 PM (lunch included)
Venue: Valamar Argosy Hotel, Meeting room: Karaka
Description:
QSP has become an established component of modern regulatory submissions, with hundreds of FDA and EMA filings supported by mechanistic models. Yet despite demonstrated ROI, most organizations still apply QSP selectively rather than across the broader pipeline. The primary barrier is no longer confidence in the science; it’s enabling teams to use QSP efficiently, repeatedly, and at scale. This workshop will focus on how Certara IQ™ creates a practical environment for doing exactly that, blending instruction with hands-on guided exercises.
The session is structured for a mixed audience, from early-career modelers looking to learn practical workflows, to senior scientists and decision-makers interested in how scalable QSP tooling supports feasibility evaluation, differentiation, dose selection, and program decision-making. After a concise framing of the scaling challenge, participants will work through real examples, using IQ to answer four high-value development questions:
- New target feasibility in early discovery
- Best-in-class property assessment and competitor landscape modeling
- First-in-human dose projection with uncertainty characterization
- Recommended Phase 2 dose selection with Virtual Populations
Each section will pair a case study with interactive use of the platform. Attendees will gain experience navigating workflows, exploring assumptions, and generating analyses suitable for communication with governance teams.
By the end of the workshop, participants will have worked through full end-to-end examples themselves, and see how scalable QSP tooling can expand the number of programs supported, shorten turnaround time, and make model-based decisions more repeatable. The goal is for attendees to leave with a clear understanding of how these capabilities translate into broader impact within their own organizations.
- Key takeaways:
- QSP is proven and regulatory-accepted, but hard to scale across programs. Certara IQ solves that.
- Workshop shows how to use scalable QSP tooling for real development decisions.
- Participants practice four key workflows: target feasibility, differentiation, FIH dose projection, and Phase 2 dose selection.
- Designed for both modelers and decision-makers to gain hands-on, end-to-end experience.
- Attendees will leave knowing how IQ accelerates analyses, increases consistency, and expands QSP use across their organization.
Participants: 50 (classroom style)
Fees:
USD $100
Registration link will be available soon
Simcyp Workshop – Paediatric and Pregnancy PBPK
Date: Tuesday, June 2nd
Time: 08:30 – 16:30
Venue: Valamar Lacroma Hotel
Description:
A Hands-On Workshop with Paediatric and Pregnancy PBPK
Pharmacotherapy during pregnancy or childhood is influenced by a myriad of physiological variables that are changing dynamically. Systemic assessments of the influence of these covariates are challenging and depend on drugs and physiological attributes and their interaction but have been made easier with the utilization of the physiologically based pharmacokinetic (PBPK) approach.
The objective of this workshop is to demonstrate the application of PBPK approach to predict pharmacokinetics before, during, and after pregnancy as well as in neonates.
Key aspects of the course:
- Requirements for building a paediatric PBPK model with examples on utilization of pediatric /pregnancy PBPK models
- The impact of developmental physiology and ontogeny of drug elimination systems.
- Assessment of the impact of time varying covariate in the pregnant women and the fetus.
- Lectures and hands-on exercises to re-enforce the learning points.
Fees:
£300+VAT Students (Coupon Code: STUDENT26)
£600+VAT Industry
New and Advanced Features of NONMEM 7.6 In person Workshop
Date: Monday, June 1st
Time: 09:00-17:00
Venue: Valamar Lacroma Hotel
Description:
A one-day NONMEM 7.6 course will be presented by ICON at the PAGE 2026 Conference. This one-day, in-person, workshop will cover the description and use of features in NONMEM 7. Workshop attendees will be instructed how to specify gradient precision and how to use the FAST algorithm (new in NM 7.4) for FOCE and will also be instructed on how to use the Monte Carlo importance sampling, stochastic approximation expectation-maximization methods, and full Bayesian methods such as Gibbs sampling and Hamiltonian no-U turn sampling (new in NM 7.4). Parallel computing and dynamic memory allocation for efficient memory usage will also be described as well as symbolic references to thetas, etas, and sigmas, priors to sigmas, MonteCarlo search algorithms to improve FOCE estimation, built-in individual weighted residuals, bootstrap tools for simulation, and automatic stabilization against numerical exceptions. Also, learn to use new abbreviated code features for easier modeling of inter-occasion variability, modelling additional mixed effects levels for grouping individuals, such as inter-clinical site variability, and using the DO loop feature in abbreviated code, useful for handling multiple bolus doses in models that use the analytical absorption function for multiple transit compartments. New in NONMEM 7.5: Optimal clinical design and evaluation tool is available, as well as delay differential equation solvers.
Fees: (payment is expected via credit card upon receipt of quote)
Industry $600,00
Academia/Government $300,00
Students $150,00
Contact IDSSOFTWARE@iconplc.com for details and registrations!
Find the Agenda here: ICON_New and Advanced Features of NONMEN Workshop_Agenda_PAGE2026
A Glimpse into AI/ML Applications for Pharmacometrics
Date: Tuesday, June 2nd
Time: 08:30 – 16:30
Venue: Valamar Lacroma Hotel
Description:
Artificial Intelligence and Machine Learning (AI/ML) are rapidly transforming pharmacometrics, offering new tools for model development, covariate selection, and data analysis. Organized by the AI/ML Special Interest Group (SIG) under ISoP (https://www.isop.org/special-interest-groups/aiml-sig), this interactive satellite workshop provides both an overview and hands-on experience with AI-assisted coding tools and open-source ML frameworks in R and Julia, alongside a panel discussion of regulatory considerations and best practices. The workshop includes:
- Hands-on demonstration of GenAI coding assistants (e.g., GitHub Copilot)
- Live open-source coding exercises (Neural ODEs, ML-based covariate selection, Explainable AI)
- Panel discussion with regulatory and industry experts
- Networking and community building
Participants must bring their own laptop and have a Github account
Number of participants: 6–12
Fees:
- Industry participants: €200
- Academic participants: €150
- Students: €70 (a scan of their current student card will be required)
- ISoP members receive a 20% discount
Cancellation Policy
- Registration fees are non-refundable
- Substitutions are permitted (please notify organizers in advance)
Registration includes workshop participation, mid-morning coffee, light lunch, and afternoon refreshments. Due to limited capacity (6–12 participants), registration is confirmed only upon payment.
Seats are allocated on a first-come, first-served basis.
For questions, please contact the ISoP AI/ML SIG at aiml_sig@isop.org
Registration link will be available soon
Clinical Pharmacology Insights for Enhanced Model Informed Drug Development
Date: Tuesday, June 2nd
Time: 14:00 – 18:00
Venue: Valamar Lacroma Hotel. Meeting Room: ELAFITI 1
Description:
This half-day workshop bridges clinical pharmacology fundamentals with advanced pharmacometrics applications, demonstrating how their integration drives efficient early phase drug development. Participants will gain practical insights into modern trial design strategies that maximize data utility and accelerate decision-making.
- Master Early Phase Fundamentals: Learn core principles of clinical pharmacology in early phase trials, focusing on strategies and regulatory perspectives (FDA, MHRA, EMA) for FIH studies. Learn practical insights from case studies.
- Recognize the Strategic Value of Integrated Early Phase Studies: Explore how clinical pharmacology and pharmacometrics synergy enables the evolution from sequential to integrated, overlapping trial designs that inform future development stages while reducing time and cost. Examine case studies demonstrating practical applications including cQTc modeling, DDI assessments, special populations, etc.
- Streamline Oncology Development with Project Optimus Through Model-Informed Approaches: Understand how model-informed integrated approaches support the FDA’s Project Optimus framework in oncology, moving from first in human dose to RP2D selection – including case studies.
Fees:
Free of Charge
Scientific Machine Learning for Pharmacometrics with DeepPumas
Date: Monday, Jun 1 to Tuesday, Jun 2
Time: 09:00 – 17:00
Venue: Valamar Lacroma Hotel, Dubrovnik
Description:
This hands-on workshop covers the integration of domain knowledge with data-driven methods in pharmacometric modeling using DeepPumas. We’ll bridge mechanistic NLME modeling with modern scientific machine learning (SciML), including Neural ODEs, Universal Differential Equations, and DeepNLME, to discover unknown dynamics, leverage rich auxiliary data through embedding models, and build individualized models while maintaining interpretability.
You’ll learn how techniques from generative AI connect to random effects modeling, how SciML methods enable data-driven discovery of biological mechanisms, and how pre-trained embedding models extract prognostic information from complex data modalities.
The workshop shows how these seemingly disparate techniques (Neural ODEs, DeepNLME, embeddings, and generative models) relate to each other and integrate into a coherent framework for modern pharmacometric modeling.
Beyond teaching specific tools, the workshop offers perspective on the evolving landscape of pharmacometric modeling as machine learning transforms the field. It helps individual modelers upskill and strategists understand what will be important going forward.
Instructors: Niklas Korsbo and Lucas Pereira
What you will Learn:
The workshop covers material from classical NLME to DeepNLME, with a focus on practical implementation and real-world applications.
Practical Information
- Format: Intensive hands-on workshop with mixture of lectures, live coding demonstrations, and guided exercises
- Prerequisites: Familiarity with population modeling concepts; basic programming experience helpful but not required
- Software: All materials use Pumas/DeepPumas (Julia-based); no prior Julia experience needed
- Materials: All code, data, and documentation provided
Maximum participation of 20 attendees
Fees:
- $500 for Industry
- $100 for Academia
- Bring Your Team, Save More! Groups of 3+ qualify for a group discount.
For the Agenda and more details click here: PUMAS AI Full Agenda and Details