May 11-12, 2026 (In-person) : Two-day interactive workshop to learn the essentials of population PK/PD modeling and simulations in pharmacometrics using MonolixSuiteTM. An Introductory Workshop in Pharmacometrics using MonolixSuiteTM Dates: May 11-12th, 2026 Location: University of Florida, Orlando (FL)   By the end of the course, you'll be able to Build PK/PD models in Monolix Evaluate models using built-in diagnostics ans statistical criteria Perform simulations of new scenarios with Simulx Understand Monolix algorithms and how they impact the results Designed for students and beginners seeking a solid introduction to pharmacometrics and MonolixSuite, intermediate and experienced users to strengthen model development and software skills.  No prior MonolixSuite experience required.  A temporary MonolixSuite license is provided to all participants. Agenda Day 1: Modeling Foundations & PK Workflow Principles of the population approach with NLME models and PKPD mdoeling Data format and exploration: structure, best practices, visualization Model development: structural model, statistical model, covariates, diagnostic tools Model organization, output files and good practices Mlxtran language: syntax for model writing Day 2: Model Development and Evaluation PK/PD modeling Algorithms and what impacts the performance Plots customization and reporting Simulations: exploration, comparing dosing regimens, new populations Price The prices are VAT exempted, it will be added if applicable.  Industry: full workshop $2500 UF students: free - contact eduction@simulations-plus.com for a discount code Lunch and coffee breaks included.  Payment method: Credit Card* *If you are unable to complete payment with a credit card please contact eduction@simulations-plus.com to request an invoice to pay via direct wire transfer.  Location Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida; 6550 Sanger Road, Orlando, FL Read more

May 7-9, 2026 (In-person) : Three-day interactive workshop to learn the essentials of population PK/PD modeling and simulations in pharmacometrics using MonolixSuiteTM. An Introductory Workshop in Pharmacometrics using MonolixSuiteTM Dates: May 7-9th, 2026 Location: University Southern California, Los Angeles   By the end of the course, you'll be able to Build PK/PD models in Monolix Evaluate models using built-in diagnostics ans statistical criteria Perform simulations of new scenarios with Simulx Automate modeling and simulation workflows Understand Monolix algorithms and how they impact the results Designed for students and beginners seeking a solid introduction to pharmacometrics and MonolixSuite, intermediate and experienced users to strengthen model development and software skills.    No prior MonolixSuite experience required.  A temporary MonolixSuite license is provided to all participants. Agenda Day 1: Introduction and Foundations Principles of the population approach with NLME models Fundamentals of PK and PD modeling Introduction to MonolixSuite: workflow and interface Data management: formatting datasets, understanding requirements Data exploration: visualization, stratification, diagnosis and identifying variability Building a structural model: compartmental models, parameters, initial estimates Introduction to Sycomore for model organization and sharing Output files and good practices Mlxtran Part 1: basics of model coding and syntax Day 2: Model Development and Evaluation Statistical model: error models, inter-individual variability Covariate analysis: strategies, stepwise approach, selection criteria Model evaluation and diagnostics: goodness-of-fit, VPC, residuals Understanding algorithm settings and their impact on performance Plots customization and presets Mlxtran Part 2: advanced modeling features PK/PD modeling approaches Day 3: Simulations and Advanced Workflows Introduction to Simulx: setting up simulation scenarios Comparing dosing regimens, new populations, clinical trial designs Workflow automation: scripting in R using lixoftConnectors Price The prices are VAT exempted, it will be added if applicable.  Industry: full workshop $2800 (a discounted price $2500 if you join only 2 days - ask eduction@simulations-plus.com for a discount code) USC students: free - contact education@simulations-plus.com for a discount code Lunch and coffee breaks included.  Payment method: Credit Card* *If you are unable to complete payment with a credit card please contact eduction@simulations-plus.com to request an invoice to pay via direct wire transfer.  Location University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089 Read more

April 14th, 2026 (In Person) - This course is designed for beginners who want to learn the fundamentals of population pharmacokinetic (PK) modeling and simulation with MonolixSuite. It provides a practical introduction to building, evaluating, and using PK models to support data analysis and decision-making. Dates: April 14, 2026 Time: 8:45 AM - 12:15 PM Location:  Hine Hall,  875 W North St, Indianapolis, IN 46202 What you’ll learn: * How to prepare, visualize, and explore PK data * How to build and compare classical population PK models * How to evaluate model performance using typical diagnostic tools * How to perform PK simulations to explore new dosing regimens The course combines lectures with hands-on exercises using MonolixSuite™. A temporary software license is included. MPRINT Annual Conference Read more

June 1-2, 2026 (In Person) -  This is a bundle registration that includes both the Monolix Workflow Lab and AI Lab course. Monolix Workflow Lab: Reproducibility and traceability are well known requirements — yet many modeling workflows remain manual and difficult to review. This Workflow Lab shows how to move from one-off analyses to standardized, automated pipelines using MonolixSuite and R-based tools. Through hands-on examples, you’ll learn how to build workflows that support efficient reruns, consistent outputs, and review-ready reporting. Beginner MonolixSuite online training is included. AI Lab: A small shift in how AI is used makes a big difference between generic answers and scientific support. This hands-on AI Lab introduces MonolixSuite’s specialized AI assistants through guided examples designed for reproducibility, traceability, and regulatory-ready workflows. You’ll explore where AI can meaningfully support pharmacometric modeling today — and where human expertise remains essential. No prior MonolixSuite or LLM experience is required. MonolixSuiteTM Workflow Lab: From Automated Analysis to Submission-Ready Deliverables MonolixSuiteTM AI Lab: From Concepts to Agents - Practical AI Use Cases for Modelers PAGE 2026 Satellite Workshops Workflow Lab: Full day: Monday afternoon 1st June 2026: 1 – 5 PM and Tuesday morning 2nd June 2026: 9 AM – 12 PM AI Lab: Half day: Tuesday afternoon, 2nd June 2026: 1  – 5 PM Workflow Lab Description The transition from manual, one-off analyses to standardized, automated pipelines is changing how modellers handle frequent data updates, reruns, tight timelines, and review expectations. This workflow Lab helps to make that transition by building end-to-end workflows that are reproducible, traceable, and ready for efficient internal and regulatory review. Through technical lectures and guided hands-on exercises, you will learn to automate data formatting and plots customization via presets, run Monolix automatically with lixoftConnectors, standardize outputs, and generate reports with Quarto. The course also covers practical quality and submission-oriented practices, including software installation documentation/validation, version control, and generating standardized output and plot packages for submissions. By the end of the workshop, you will have a structured workflow example that supports reproducibility, traceability, and submission preparation and can be adapted to your own projects. New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the course. Includes a temporary licence for the MonolixSuite. This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Coratia, as a satellite event of the PAGE conference. AI Lab Description Large Language Models (LLM) are widely discussed across the industry, but their practical and safe application within a regulated scientific environment remains little understood. In pharmacometrics, there is a gap between a generic AI response and outputs that are reproducible, reviewable and appropriate for scientific decision making. This AI Lab addresses that gap with a practical, hands-on introduction to MonolixSuite specialized AI assistants.  Working with early access beta tools in MonolixSuite, you will use guided examples to explore how AI can support tasks such as drafting model elements, generating code, and supporting workflows. The session includes an introduction to the Model Context Protocol (MCP) to connect AI assistants with a modeling environment. By including realistic applications and acknowledging current limitations, the AI Lab will help you develop a clear view on what AI can support today, and how to use these tools safely and effectively in your own workflows.  New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the course. Includes a temporary licence for the MonolixSuite. This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Coratia, as a satellite event of the PAGE conference. More courses at PAGE "MonolixSuite Modeling Lab: Practical Solutions for Advanced PKPD Challenges" . Price per person The prices are VAT exempted, it will be added if applicable. Industry: 939$ (~800€) – Academia: 470$ (~400€)   Lunch on Tuesday is included.   Payment Method: Credit Card*  *If you are unable to complete payment with a credit card please contact education@simulations-plus.com to request and invoice to pay via direct wire transfer. Location This is an in-person workshop in Dubrovnik in Croatia.  Read more

June 1-2, 2026 (In Person) -  This is a bundle registration that includes both the MonolixSuite Modeling Lab and AI Lab courses. Modeling Lab: MonolixSuite provides powerful estimation and diagnostic tools — yet their correct interpretation is often the hardest part of model development. This Modeling Lab focuses on practical problem solving to help you understand algorithm behavior, diagnostics, and the reasoning behind modeling decisions. Through guided hands-on examples and real troubleshooting cases, you’ll learn how to approach complex models with confidence and structure. Beginner training is included. AI Lab: A small shift in how AI is used makes a big difference between generic answers and scientific support. This hands-on AI Lab introduces MonolixSuite’s specialized AI assistants through guided examples designed for reproducibility, traceability, and regulatory-ready workflows. You’ll explore where AI can meaningfully support pharmacometric modeling today — and where human expertise remains essential. No prior MonolixSuite or LLM experience is required. MonolixSuiteTM Modeling Lab: Practical Solutions for Advanced PKPD Challenges MonolixSuiteTM AI Lab: From Concepts to Agents - Practical AI Use Cases for Modelers PAGE 2026 Satellite Workshops Modeling Lab: Full day: Monday afternoon 1st June 2026: 1 – 5 PM and Tuesday morning 2nd June 2026: 9 AM – 12 PM AI Lab: Half day: Tuesday afternoon, 2nd June 2026: 1  – 5 PM Modeling Lab Description Complex model development requires more than following a standard workflow; it requires understanding and interpretation of estimation algorithms and diagnostics. This modeling Lab moves beyond reviewing software features and focuses on practical problem solving to help you make good modeling decisions.  During technical lectures and guided hands-on sessions, you will explore diagnostic tools using different settings, gain practical insight into estimation algorithms behaviour, and work through examples of complex model building. Part of the session includes interactive troubleshooting based on real issues encountered in Monolix support, illustrating how to approach problems from both a modeling and technical perspective. To make the experience as relevant as possible, participants are invited to pre-submit specific questions, datasets or models (details provided after registration), with selected cases discussed live during the workshop.  New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the live, instructor-led coaching. Includes a temporary licence for the MonolixSuite. This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Coratia, as a satellite event of the PAGE conference. AI Lab Description Large Language Models (LLM) are widely discussed across the industry, but their practical and safe application within a regulated scientific environment remains little understood. In pharmacometrics, there is a gap between a generic AI response and outputs that are reproducible, reviewable and appropriate for scientific decision making. This AI Lab addresses that gap with a practical, hands-on introduction to MonolixSuite specialized AI assistants.  Working with early access beta tools in MonolixSuite, you will use guided examples to explore how AI can support tasks such as drafting model elements, generating code, and supporting workflows. The session includes an introduction to the Model Context Protocol (MCP) to connect AI assistants with a modeling environment. By including realistic applications and acknowledging current limitations, the AI Lab will help you develop a clear view on what AI can support today, and how to use these tools safely and effectively in your own workflows.  New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the course. Includes a temporary licence for the MonolixSuite. This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Coratia, as a satellite event of the PAGE conference. More courses at PAGE "MonolixSuite Workflow Lab: From Automated Analysis to Submission-Ready Deliverables" . Price per person The prices are VAT exempted, it will be added if applicable. Industry: $939 (~800€) – Academia: $470 (~400€)   Lunch on Tuesday is included.   Payment Method: Credit Card*  *If you are unable to complete payment with a credit card please contact education@simulations-plus.com to request and invoice to pay via direct wire transfer. Location This is an in-person workshop in Dubrovnik in Croatia.  Read more

June 2, 2026 (In Person) -  MONOLIXSUITE PAGE 2026 SATELLITE WORKSHOPS This hands-on AI Lab introduces MonolixSuite’s specialized AI assistants through guided examples designed for reproducibility, traceability, and regulatory-ready workflows. You’ll explore where AI can meaningfully support pharmacometric modeling today — and where human expertise remains essential. No prior MonolixSuite or LLM experience is required. MonolixSuiteTM AI Lab: From Concepts to Agents - Practical AI Use Cases for Modelers PAGE 2026 Satellite Workshop Half day: Tuesday afternoon June 2nd: 1  – 5 PM Course description Large Language Models (LLM) are widely discussed across the industry, but their practical and safe application within a regulated scientific environment remains little understood. In pharmacometrics, there is a gap between a generic AI response and outputs that are reproducible, reviewable and appropriate for scientific decision making. This AI Lab addresses that gap with a practical, hands-on introduction to MonolixSuite specialized AI assistants.  Working with early access beta tools in MonolixSuite, you will use guided examples to explore how AI can support tasks such as drafting model elements, generating code, and supporting workflows. The session includes an introduction to the Model Context Protocol (MCP) to connect AI assistants with a modeling environment. By including realistic applications and acknowledging current limitations, the AI Lab will help you develop a clear view on what AI can support today, and how to use these tools safely and effectively in your own workflows.  New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the course. Includes a temporary licence for the MonolixSuite. This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Coratia, as a satellite event of the PAGE conference. More courses at PAGE This course is for FREE if combined with a full day course (Monday afternoon + Tuesday morning): MonolixSuite Modeling Lab or MonolixSuite Workflow Lab   Price per person The prices are VAT exempted, it will be added if applicable. Industry: $470 (~400€) – Academia: $235 (~200€)   If you want to join also a full day workshop, please register via these links: AI Lab + Modeling Lab AI Lab + Workflow Lab  Lunch on Tuesday is included.   Payment Method: Credit Card*  *If you are unable to complete payment with a credit card please contact education@simulations-plus.com to request and invoice to pay via direct wire transfer. Location This is an in-person workshop in Dubrovnik in Croatia.  Read more