The First International Workshop on Digital Twins for Mitral Valve
From Images to Mathematics, Models and Clinical Impact
Paris, 25–26 September 2025
Paris, 25–26 September 2025
25–26 September 2025
🇨🇳 🇮🇷 🇫🇷 🇹🇳 🇬🇧 
This workshop explores mitral valve digital twins, uniting clinical imaging, machine learning, and biomechanics experts. It addresses challenges in patient-specific modeling, including leaflet-blood interactions and limited imaging data, and presents workflows combining AI-based image processing with computational simulations. The session highlights feasibility studies for major funding initiatives toward clinical translation.
The Turner Room (second floor)
British Council in Paris
9 Rue de Constantine
75007 Paris, France
Supported by the British Council in Paris, the Springboard Programme for bilateral UK–France partnership grants with a focus on ECRs.
09:30 – 10:15 Arrival, coffee and tea
10:15 – 10:30 Welcome and introduction to workshop – HG and PV
10:30 – 11:30 Introductions (verbal or 1 slide only) – All
11:30 – 12:00 Identification of key goals for Day 1 and Day 2
12:00 – 13:30 Lunch and discussions
13:30 – 14:30 Presentation Session 1 (Chair: Pierre-Frédéric)
- Dr Marie-Odile Berger – Experience Report on Using Image-Extracted Data to Guide Simulation
- Fateme Ghayyem – NeuroConText: Contrastive Learning for Neuroscience Meta-Analysis with Rich Text Representation
- Dr Hao Gao – MV modelling, the past, the current and the future
14:30 – 15:00 Discussion Session 1 (Chairs: Marie-Odile and Hao)
Expertise group discussions – challenging issues in digital twins and soft tissue modelling
- Experimental data
- Clinical imaging constraints
- Computational models
- Translation
15:00 – 15:30 Coffee break
15:30 – 16:30 Presentation Session 2 (Chair: Hao)
- Prof. Nick Hill – (TBD) SofTMech centre: mathematical, statistical and computational modelling of cardiac and cancer physiology and disease
- Dr Jay Mackenzie – (TBD) Modelling of blood flow in vessel networks
- Dr Pierre-Frédéric Villard – In Vitro Benchmark for Validation of Mitral Valve FSI Simulation
16:30 – 17:00 Discussion Session 2 (Chairs: Nick and Pierre)
- Imaging process
- Mathematical modelling
- Digital twins of MV
17:00 – 19:00 Free time / Hotel check-in
19:00 – 21:00 Dinner (together) – Le Royal
https://www.leroyalbarparis.fr/menus-carte/#menu-454037
09:30 – 10:00 Arrival, coffee and tea
10:00 – 10:30 Recap of key outcomes from Day 1
10:30 – 11:30 Presentation Session 3 (Chair: Jay)
- Insaf Mellakh – Quantitative analysis of X-ray angiography images in acute ischemic stroke
- Sarah Donaldson – (TBD) Immersed boundary methods in cardiac modelling
- Linghao Kang – (TBD) Constitutive modelling of cardiac tissue
11:30 – 12:00 Discussion Session 3 (Chairs: Jay and Fateme)
Focussing activity – based on outcomes of Day 1
- Bring together key priorities
- Ranking of priorities
12:00 – 13:30 Lunch and discussions
13:30 – 14:30 Discussion Session 4 (Chairs: Hao and Pierre-Frédéric)
- Topic journal paper options for our workshop?
- What makes this book chapter impactful?
- Future funding from EU
- Collaboration channel (Teams, email list, etc.)
14:30 – 15:00 Coffee and departure
| Name | Affiliation | Job Title | Research Interests |
|---|---|---|---|
| Dr Marie-Odile Berger | University of Lorraine | Professor | Deformable models, computer vision |
| Ms Sarah Donald | University of Glasgow | PhD candidate | Immersed boundary method, whole left heart modelling |
| Dr Hao Gao | University of Glasgow | Senior Lecturer | Multiphysics and multiscale cardiovascular modelling |
| Prof. Nick Hill | University of Glasgow | Professor | Continuum mechanics, hemodynamics, soft tissue growth |
| Mr Linhao Kang | University of Glasgow | PhD candidate | Soft tissue mechanics, constitutive modelling |
| Dr Fateme Ghayyem | University of Lorraine | Postdoctoral fellow | Machine learning, signal processing, statistics, brain meta-analysis |
| Dr Jay Mackenzie | University of Glasgow | Research Associate | Mathematical modelling of blood flow in cardiovascular systems |
| Ms Insaf Mellakh | University of Lorraine | PhD candidate | Deep learning for perfusion quantification |
| Dr Pierre-Frédéric Villard | University of Lorraine | Associate Professor | MV mechanics, modelling, surgical planning |
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