An Explainable Digital Twin for Personalised Pharmacotherapy in Inflammatory Bowel Disease
Description
This project aims to develop an explainable pharmacotherapy digital twin to support personalised selection of advanced therapies for patients with Crohn’s disease and ulcerative colitis. The digital twin will combine real-world clinical data, laboratory results, treatment history, therapeutic drug monitoring data and evidence from clinical studies. Using causal inference, target trial emulation, Bayesian modelling and machine learning, the model will estimate the expected effectiveness and safety of alternative treatments for an individual patient. The intended result is an explainable decision-support tool that can be used in multidisciplinary care and shared decision-making. The project is currently in development and subject to external funding.
Who is the principal investigator?
Dr. Luc Derijks
Team
Prof. dr. Nathal van Riel, digital-twin modelling
Prof. dr. Marieke Pierik, real-world IBD data and clinical expertise
Dr. Zlatan Mujagic, clinical IBD expertise
Upiek Riptoningrum, data analysis
Researchers in clinical pharmacology, gastroenterology, data science, causal inference and health technology.
Who is collaborating?
Department of Clinical Pharmacy and Toxicology and Department of Gastroenterology and Hepatology, Maastricht UMC+
NUTRIM, Maastricht University
Máxima MC
Eindhoven University of Technology
The Initiative on Crohn and Colitis registry
Crohn & Colitis NL. Patient participation is incorporated throughout the development and implementation of the project.
Relevant links
Digital twins to personalise medicine
Machine-learning prediction models in inflammatory bowel disease
Are we looking for students or researchers to collaborate on this project?
Yes. We welcome students and researchers with expertise or interest in causal inference, target trial emulation, Bayesian modelling, machine learning, explainable AI, data science, clinical pharmacology, health technology assessment and patient-centred implementation.
Also, visit our Vacancies page.
Contact for internship or collaboration
Dr. Luc Derijks (luc.derijks@mumc.nl)