The research of the Computational Cardiovascular Science group in Hypertrophic Cardiomyopathy, by combining electrocardiogram and imaging data with machine learning and computer simulations, has been highlighted by the Virtual Physiological Human Institute as their very first success story on how computational techniques can revolutionize the knowledge of cardiac diseases and improve patient care. You can read their summary following this link, or read the full paper here.
Other recent works include our clinical translational study on explaining mechanisms of drug action and efficacy in Hypertrophic Cardiomyopathy, that can be found in this link.
Drug-induced Shortening of the Electromechanical Window is an Effective Biomarker for in Silico Prediction of Clinical Risk of Arrhythmias
Passini E, Trovato C, Morissette P, Sannajust F, Bueno-Orovio A, Rodriguez B. British Journal of Pharmacology 2019 doi 10.1111/bph.14786.
Suppression of alternans in the border zone of healed infarcts via β-adrenergic stimulation
Tomek J, Hao G, Tomková M, Carr C, Lewis A, Paterson DJ, Rodriguez B*, Herring N*, Bub G* (*shared senior authors). Frontiers in Physiology 2019 doi 10.3389/fphys.2019.00350.
Investigating the Complex Arrhythmic Phenotype caused by the Gain-of-function Mutation KCNQ1-G229D
Zhou X, Bueno-Orovio A, Schilling RJ, Kirkby C, Denning C, Rajamohan D, Burrage K, Tinker A, Rodriguez B*, Harmer SC*. (*shared senior author). Frontiers in Physiology 2019 doi 10.3389/fphys.2019.00259.