معرفی
Ruben Doste is a Researcher in the Department of Computer Science at the University of Oxford. His work focuses on computational modeling for cardiac electrophysiology, digital twin development, and arrhythmia mechanisms. Supervised by Alfonso Bueno-Orovio, his research emphasizes patient-specific models, in silico clinical trials, and integrating medical imaging (ECG/MRI) with computational simulations.
- Key research areas include ventricular arrhythmia mechanisms, cardiac digital twins, and therapeutic evaluation through multiscale models.
- Develops open-source tools like MonoAlg3D for scalable cardiac simulations on GPU clusters.
- Explores sex-specific differences and drug responses in hypertrophic cardiomyopathy using computational frameworks.
Recent work highlights the impact of scar heterogeneity, Purkinje network dynamics, and ischaemia on arrhythmogenesis. His pipeline for generating patient-specific ventricular models enables large-scale in silico trials. Collaborative efforts integrate experimental data with simulations to personalize therapy predictions.
Notable contributions include analyzing ECG dynamics under anatomical variability, evaluating ranolazine's effects on arrhythmic substrates, and refining T wave pseudonormalisation mechanisms in stress testing scenarios. These studies bridge computational biology with clinical cardiology to advance precision medicine applications.
