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About us

Our group is part of the BHF Centre of Research Excellence at Oxford, and includes scientists based at the Department of Computer Science and the Bioengineering Institute, with strong links with the Departments of Cardiovascular Medicine and Physiology, and established collaborations with clinical and experimental collaborators in academia, hospitals, pharmaceutical companies and regulatory agencies.

Latest News

The ‘Digital Twin’ to enable the vision of precision cardiology

Posted 06/03/2020

Increasing computer power and novel algorithms could predict future heart health of patients.

In recent times, researchers have increasingly found that the power of computers and artificial intelligence is enabling more accurate diagnosis of a patient’s current heart health and can provide an accurate projection of future heart health, potential treatments and disease prevention.

Now in a paper published in European Heart Journal, researchers from Oxford University, working in collaboration with academic, industry, clinical and regulatorypartners, and several other international initiatives as the Personalised In-Silico Cardiology consortium, show how linking computer and statistical models can improve clinical decisions relating to the heart.

The team of researchers believe that the power of computational models in cardiovascular medicine could also provide us with more control over our daily heart health. Much like the popularity of wearable monitoring devices, a digital twin of our hearts could inform us about its current health and alert wearers to any risk factors. The research predicts we could see the technology in action within the next 5-10 years.



News & Events Archive

Latest Publications

The ‘Digital Twin’ to enable the vision ofprecision cardiology

J. Corral-Acero, F. Margara, M. Marciniak, C. Rodero, F. Loncaric, Y. Feng, A. Gilbert, J. F. Fernandes, H. A. Bukhari, A. Wajdan, M. V. Martinez, M. S. Santos, M. Shamohammdi, H. Luo, P. Westphal, P. Leeson, P. DiAchille, V. Gurev, M. Mayr, L. Geris, P. Pathmanathan, T. Morrison, R. Cornelussen, F. Prinzen, T. Delhaas, A. Doltra, M. Sitges, E. J. Vigmond, E. Zacur, V. Grau, B. Rodriguez, E. W. Remme, S. Niederer, P. Mortier, K. McLeod, M. Potse, E. Pueyo, A. Bueno-Orovio, and P. Lamata. European Heart Journal (2020). DOI:10.1093/eurheartj/ehaa159.

Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers

F. Levrero-Florencio, F. Margara, E. Zacur, A. Bueno-Orovio, Z. J. Wang, A. Santiago, J. Aguado-Sierra, G. Houzeaux, V. Grau, D. Kay, M. Vázquez, R. Ruiz-Baier, B. Rodriguez. Comput. Methods Appl. Mech. Engrg. 361 (2020) 112762. DOI: 10.1016/j.cma.2019.112762.

Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment.
Zhou X, Qu Y, Passini E, Bueno-Orovio A, Liu Y, Vargas H, Rodriguez B. Frontiers in Pharmacology. 2020; 10:1643. doi: 10.3389/fphar.2019.01643.

Development, calibration, and validation of a novel human ventricular myocyte model in health, disease and drug block.
Tomek J, Bueno-Orovio A, Passini E, Zhou X, Mincholé A, Britton O, Bartolucci C, Severi S, Shrier A, Virag L, Varro A, Rodriguez B. 
eLife. 2019 Dec 23; 8. pii: e48890. doi: 10.7554/eLife.48890.

High arrhythmic risk in antero-septal acute myocardial ischemia is explained by increased transmural reentry occurrence.
Martinez-Navarro H, Mincholé A, Bueno-Orovio A, Rodriguez B. Sci Rep. 2019 Nov 14;9(1):16803. doi: 10.1038/s41598-019-53221-2. PMID: 31728039.