Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities paper, published in the Journal of Molecular and Cellular Cardiology, has been selected as one of JMCC’s “Papers of the Year” of 2020.
The article was selected as one of 4 Papers of the Year from among nearly 200 articles published in JMCC last year. The contribution has generated immediate impact in the field of cardiology, and has contributed to JMCC’s status as among the most widely accessed journals in the field.
JMCC is extremely honored to work with the leading scientists in cardiovascular research and look forward to future contributions.
Margara F, Wang Z J, Levrero-Florencio F, Santiago A, Vaquez M, Bueno-Orovio A, Rodriguez B. Progress in Biophysics and Molecular Biology. 2020. DOI: 10.1016/j.pbiomolbio.2020.06.007.
Members of our team remotely attended the Computing in Cardiology, Rimini, Italy, 2020 conference this past week and garnered the following awards and distinctions: Finalist placing for the Roanna Degani Young Investigator Award to Hannah Smith MPhys, Semi-finalist placing for the same award to Francesca Margara MSc, and Best Remote Poster Presentation Award to Dr Zhinuo Jenny Wang. We also contributed with oral presentations by Dr Xin Zhou, Dr Cristian Trovato, and a special session oral presentation by Professor Blanca Rodriguez. The research we presented included novel human Purkinje fibre models and electromechanically coupled cell models for drug assessment, investigations of cellular and organ level electromechanical remodelling in post myocardial infarction, and an overview of our progress towards the vision of precision cardiology and the ‘Digital Twin’.
Passini E, Zhou X, Trovato C, Britton OJ, Bueno-Orovio A, Rodriguez B. Journal of Computational Science, 2020. DOI 10.1016/j.jocs.2020.101202.
Doste R, Sebastian R, Francisco Gomez J, Soto-Inglesias D, Alcaine A, Mont L, Berruezo A, Penela D, Camara O. EP Europace July 2020; euaa102. DOI: 10.1093
Margaraa F, Wanga ZJ, Levrero-Florencioa F, Santiagob A, Vázquezbc M, Bueno-Orovioa A, Rodrigueza B. Progress in Biophysics and Molecular Biology 2020.06.007; DOI: 10.1016.
Kalla M, Hao G, Tapoulal N, Tomek J, Liu K, Woodward L, Dall’Armellina E, Banning AP, Choudhury RP, Neubauer S, Kharbanda RK, Channon KM, Ajijola OA, Shivkumar K, Paterson DJ, Herring N. European Heart Journal, Volume 41, Issue 23, June 2020, Pages 2168–2179.
All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation
Michelangelo P, Passini E, Klimas A, Severi S, Hyttinen J, Rodriguez B, Entcheva E. Biophysical Journal; 118(10):2596-2611, 2020. DOI: 10.1016/j.bpj.2020.03.018. Epub 2020 Apr 4.
Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity. Mamoshina P, Bueno-Orovio A, Rodriguez B. Frontiers in Pharmacology; 2020 10.3389/fpha.2020.00639.
Trovato C, Passini E, Nagy N, et al., Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities, Journal of Molecular and Cellular Cardiology (2019), https://doi.org/10.1016/j.yjmcc.2020.04.001
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