Model-informed Drug Development Intensive Interactive Courses

September 29 - 3 October, 2025 | ONLINE From Discovery to First-in-human (FIH) Using IVIVE-PBPK Modeling In this focused workshop you will use the dynamic models within the Simcyp Discovery Simulator to prioritise compounds for progress to the next stage of development using information available in early drug discovery. You will use information on clearance, absorption, tissue distribution and DDI liability to inform compound selection. Finally, from the originally large database, only a few compounds will be selected for FIH and the simulation results compared with available clinical data. The case studies will cover various elements of model development including absorption, distribution and elimination. Optimal in vitro and clinical data sets will be discussed. Participants will learn how to choose the most suitable models and also investigate the impact of various relevant assumptions on model performance. Requirements for regulatory submissions will also be discussed. It is assumed that the participants have some familiarity with the fundamentals of PBPK modeling and have hands-on experience. Live Online Courses There are no refunds for Live Online courses.  Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. Read more

September 29 - 3 October, 2025 | ONLINE Predicting and evaluating complex DDIs—application of the Simcyp Population-based Simulator to real-life cases. Live Online Courses There are no refunds for Live Online courses.  Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. Read more

Certara UK Limited is running a Simcyp hands-on workshop discussing the changes to pharmacokinetics during pregnancy and the prediction of pharmacokinetics (including in the milk) during lactation. Population based Physiologically Based Pharmacokinetic (PBPK) approach will be utilized to describe the pharmacokinetics during pregnancy and lactation and to determine population variability. The major topics covered are: Maternal and fetal gestational age-dependent physiological changes Prediction of maternal and fetal drug pharmacokinetics Ways of incorporating ex vivo experimental data on transplacental kinetics within the PBPK model Handling gestational age-varying covariates during simulation Prediction of PK in breastfeeding mothers and milk exposure using lactation models Prediction of infant dose for breastfed infant This course will be run using the Amazon Workspaces in Cloud; please ensure you have access to a computer. Live Online Courses There are no refunds for Live Online courses.  Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. Read more

This Workshop will take place in Radnor PA, USA October 20-24, 2025 VENUE: TBC HOTEL: Bedrooms can be booked at..details coming soon LAPTOP: Delegates are required to bring a laptop computer, and will be provided with access to the Simcyp Simulator via Amazon Workspaces for the duration of the course.  COURSE MATERIAL: will be provided electronically via LearnUpon  COURSE COST:  £3,900          January to 24th June £4,700          25th June to 26th August £5,600          27th August to 7th October Incorporating population variability into mechanistic prediction of PK and modeling PK/PD The model-informed approach to various aspects of drug development is rapidly being adopted by the leading pharmaceutical companies. The Simcyp workshops focus on the optimal use of compound-specific in vitro and in vivo data together with system specific information related to humans to simulate and understand drug behavior in various target populations. This integrated approach informs decisions related to Investigational New Drugs and assists with the conduct and optimal design of clinical studies. The ultimate aim is to better understand drug PK/PD properties, reduce the cost and time of drug development, improve the quality of regulatory submissions, and eventually implement precision medicine. Read more

November 3-7, 2025 | ONLINE Predicting age related changes to pharmacokinetics (PK) and drug-drug interactions including associated variability—linking this information to drug response in the pediatric population. Participants will learn how PK behavior can be modeled in preterm and term neonates, infants, and children and how it can be linked to predict the drug response (PD) within the PBPK platform. Hands-on exercises explore how this valuable information is relevant to early and informed decisions to assist in the improved design of pediatric clinical studies. Live Online Courses There are no refunds for Live Online courses. Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. Read more

November 10-14, 2025 | ONLINE A Hands-On Workshop with Simcyp Designer for Tailored PBPK-PD/QSP Models Would you like to modify and tailor population PBPK models? This course will review the principles of PBPK modelling, using the Simcyp Simulator and how to use Simcyp Designer to modify existing PBPK models with your own extension and link them to custom-built PD/QSP models. We will have lectures to introduce the PBPK models to be changed and have hands-on exercises to train the customisation of PBPK models with the Designer. No prior knowledge is required. Access to the Simcyp Simulator and Simcyp Designer will be provided.  Course Cost £1350 (3 Points for Consortium Members) This course will run via Teams: Monday10th November 3-6pm (UK time) Tuesday11th November 3-6pm (UK time) Wednesday 12th November 3-6pm (UK time) Thursday 13th November 3-6pm (UK time) Friday 14th November 3-5pm (UK time) Live Online Courses There are no refunds for Live Online courses.  Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. Read more