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Atrial digital twins for in silico trials

Dr Caroline Roney ( Queen Mary University of London )
  • 5Dec
    14:00 5th December 2025 ( week 8, Michaelmas Term 2025 )

This seminar will present our research on developing personalised physiology models to simulate and optimise treatment strategies for cardiac diseases. We integrate signal processing, machine learning, and computational modelling to investigate disease mechanisms using clinical imaging and electrical recordings. Our work spans population-level virtual trials and patient-specific models, aiming to translate these tools into the clinical environment. An illustrative application involves utilising machine learning to complement biophysical simulations in an in-silico trial to predict long-term response to treatment strategies for patients with atrial fibrillation. We will also discuss techniques for calibrating cardiac digital twins to patient electrograms and quantifying model uncertainty.  Finally, we will introduce our open-source cardiac modelling pipeline, part of the Ecosystem for Digital Twins in Healthcare (EDITH) project, which enables scalable in silico trials and is available for research use.

Speaker bio

Dr Caroline Roney is a Reader in Computational Medicine and a UKRI Future Leaders Fellow in the School of Engineering and Materials Science, Queen Mary University of London. She is also the Research Lead of the Centre for Bioengineering, where she leads the Personalised Cardiac Modelling lab. Caroline has a background in both mathematics and biomedical engineering, holding an MMath in Mathematics from the University of Oxford and an MRes in Biomedical Research from Imperial College London. She received her PhD degree in signal processing of cardiac arrhythmia data from the Department of Bioengineering and National Heart and Lung Institute, Imperial College London (2011-2015). She then worked in the computational modelling team at Liryc, University of Bordeaux, funded by a Fondation Lefoulon Delalande fellowship (2015-2017), and as an MRC Skills Development Fellow at King's College London (2017-2021). Her research interests are in developing engineering methodologies to personalise treatment approaches for cardiovascular diseases.

 

 

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