About
Martin Bishop is a Reader in Computational Cardiac Electrophysiology at King's College London, specializing in Digital Twins for Healthcare. With a PhD and MPhys from the University of Oxford, his work intersects cardiac modeling, machine learning, and clinical translation to advance cardiovascular research.
His research focuses on
- Computational electrophysiology of cardiac arrhythmias
- Digital twin populations for personalized medicine
- Machine learning-driven cardiac risk stratification
- Device optimization for arrhythmia therapy
Recent publications highlight trends in MRI-based cardiac modeling, AI-enhanced electrophysiological simulations, and multi-scale cardiovascular risk prediction. His work aligns with UN SDG 3 (Good Health and Well-being) through innovative healthcare technologies.
Current projects include
- Patient-specific ICD optimization funded by NumeriCor GmbH
- Sudden cardiac death prediction via BHF grants
- EPRSC-funded digital twin development for ablation guidance
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