Computational Cardiovascular Science aims at the combination of computational methods in cardiovascular research to integrate and expand the information extracted from a range of experimental and clinical data including biosignals and medical images.
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.
Musuamba FT, Skottheim Rusten I, Lesage R, Russo G, Bursi R, Emili L, Wangorsch G, Manolis E, Karlsson KE, Kulesza A, Courcelles E, Boissel JP, Rousseau CF, Voisin EM, Alessandrello R, Curado N, Dall'ara E, Rodriguez B, Pappalardo F, Geris L. CPT Pharmacometrics Syst Pharmacol, 2021. doi: 10.1002/psp4.12669.
Delaunois A et al. Clin Transl Sci (2021). doi: 10.1111/cts.13011
Paci M, Passini E, Klimas A, Severi S, Hyttinen J, Rodriguez B, Entcheva E. In Silico hiPSC Cardiomyocytes: Front Pharmacol (2021). doi: 10.3389/fphar.2021.604713
Inference of ventricular activation properties from non-invasive electrocardiography
Camps J, Lawson B, Drovandib C, Minchole A, Wanga Z J, Graud V, Burragea K, Rodriguez B. Medical Image Analysis, 2021, 1361-1376.
CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
Psaras Y, Margara F, Cicconet M, Sparrow A J, Repetti G G, Schmid M, Steeples V, Wilcox J A L, Bueno-Orovio A, Redwood C S, Watkins H C, Robinson P, Rodriguez B, Seidman J G, Seidman C E, Toepfer C N. Circulation Research 2021; 129:326-341.
Wang ZJ, Santiago A, Zhou X, Wang L, Margara F, Levrero-Florencio F, Das A, Kelly, C, Dall'Armellina E, Vazquez M, Rodriguez B. EP Europace, Volume 23, (Supplement_1, March 2021, Pages i143–i152.