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Miss Semhar Misghina

Queen Mary University of London, London (United Kingdom of Great Britain & Northern Ireland)

Member of:

European Society of Cardiology

Semhar Misghina is a PhD researcher at Queen Mary University of London, specialising in personalised computational modelling for cardiac arrhythmias. Her research utilises UK Biobank data to develop scalable atrial digital twin models, contributing to the broader vision of applying digital twins in healthcare. This work aims to integrate biophysical models, imaging, and genetics through machine learning to improve personalised predictions and optimise therapy selection through in-silico trials. Semhar holds a bachelor's degree in biomedical engineering and has a professional background in medical imaging and image processing. Her research interests include image processing, cardiovascular modelling, and computer vision.

Presentations

In-silico insights into the role of patient-specific fibrosis in personalised therapy selection for atrial fibrillation

Event: ESC Congress 2025

Topic: In-Silico Medicine and Virtual Physiologic Patient

Session: Applying artificial intelligence and digital tools for interpretation of complex clinical data

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In-silico insights into personalised therapy selection of anti-arrhythmic drugs and ablation using patient-specific biatrial models for atrial fibrillation

Event: ESC Congress 2024

Topic: In-Silico Medicine and Virtual Physiologic Patient

Session: Advancing computational cardiology and clinical efficiency

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