PSTU-07 - 42 - Digital twins for medication therapy: Simulation for precision therapy

Last updated: May 1, 2026, 5:06 am

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PSTU-07 - 42 - Digital twins for medication therapy: Simulation for precision therapy

Tracks
Track 3
Tuesday, September 1, 2026
2:30 PM - 4:00 PM

Details

Organised by the FIP Academic Pharmacy Section in collaboration with the FIP Ethics Advisory Group, the FIP Health and Medicines Information Section and the FIP Technology Advisory Group Chair(s) Dr Raj K.S. Badhan, Member of the Communications Committee, the FIP Health and Medicines Information Section, UK & Ms Mansi Doshi, Executive Committee Member, the FIP Academic Pharmacy Section, India Introduction: Imagine testing medication dosing regimens in a virtual patient before exposing the real patient to trial-and-error adjustment. One can predict anticoagulation control, forecasting immunosuppressant trough concentrations, antimicrobial dosing, or simulating chemotherapy outcomes based on individual pharmacokinetic and pharmacodynamic parameters. Digital twin technology, already revolutionising aviation and manufacturing through predictive simulation, is now entering clinical pharmacy through model-informed precision dosing (MIPD). Yet most pharmacists lack familiarity with the methodology, software tools, or governance frameworks needed for responsible implementation. This session demystifies digital twins for pharmacy, providing foundational understanding of pharmacometrics modelling, practical experience running simplified simulations, and critical guidance on accountability frameworks that ensure simulation-informed decisions enhance rather than replace clinical judgment. Through a detailed pharmacotherapeutic case study and live demonstration, participants will explore how MIPD strengthens precision dosing for medications with narrow therapeutic indices, complex pharmacokinetics, or high inter-patient variability. Programme:
14:30 – 14:40 Introduction by the chairs
14:40 – 15:00 Meet your digital twin, model-informed precision dosing and pharmacy applications
Prof. R. Stephanie Huang, Chair, University of Minnesota, USA
15:00 – 15:20 From bench to bedside - Model-informed dosing in practice: Case study and workflow integration
Dr Cindy Lau, St Vincent’s Hospital, Sydney, Australia
15:20 – 15:30 Interactive audience polling
15:30 – 15:50 Panel discussion with chairs, speakers and additional panellists
15:50 – 16:00 Closing remarks by the chairs
Learning objectives: 1. Gain understanding of digital twin methodology and model-informed precision dosing applied to high-risk medications. 2. Link the benefits of digital twin-enabled precision dosing to broader system-level outcomes, including patient safety at the population level, interprofessional collaboration, and equitable access to advanced digital health solutions in line with “One Health” Principles. 3. Awareness of governance, accountability, and quality assurance frameworks for simulation-informed decisions. Take home messages: This session builds awareness and foundational understanding of digital twins and model-informed precision dosing, enabling pharmacists to engage confidently with these tools, collaborate effectively with interdisciplinary teams, and make informed contributions to their responsible implementation in practice. FIP Development Goals: FIP DG 12 FIP DG 19 FIP DG 20 To learn more about these FIP Development Goals, click on the links below. FIP Development Goal 12: Pharmacy Intelligence FIP Development Goal 19: Patient Safety FIP Development Goal 20: Digital Health


Chairs & speakers

Agenda Item Image
Prof Raj Badhan
Associate Professor
Aston University

Chairing of 42 - Digital twins for medication therapy: Simulation for precision therapy

Prof. R. Stephanie Huang
University of Minnesota

Meet your digital twin, model-informed precision dosing and pharmacy applications

Dr Cindy Lau
St Vincent’s Hospital

From bench to bedside - Model-informed dosing in practice: Case study and workflow integration

Ms Mansi Shah Doshi
Medicines Optimisation Clinic

Chairing of 42 - Digital twins for medication therapy: Simulation for precision therapy

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