Cristian Trovato
Cristian Trovato
Interests
My main research interests are focused on human cardiac modelling and ventricular arrhythmias to improve current methodologies and technologies for arrhythmias diagnosis, prognosis and treatment, combining human-based integrated information embedded in the modern computational models with multiscale simulations and population of models.
Biography
I am a researcher in Computational Biology and Health Informatics, at the Department of Computer Science (University of Oxford, UK), in the Computational Cardiovascular Science Team in Oxford, led by Professor Blanca Rodriguez.
I completed my DPhil (PhD) in Computer Science in September 2020 from the University of Oxford (though, I am still waiting for graduation, postponed due to the ongoing pandemic) and, previously in July 2016, with a master’s degree in Bioengineering from the University of Bologna.
In addition to my research, I have been involved in many other types of experiences, including being president of the Oxford University Italian Society, founder and manager of the student web-radio “Uniradio Cesena” and student delegate for the Cesena Campus executive council. During my many extra-academic activities, I have acquired or improved skills like fundraising, project management, teamwork, team leadership, social and digital communication, as well as public engagement.
Selected Publications
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The virtual assay software for human in silico drug trials to augment drug cardiac testing
B Passini E. Zhou X. Trovato C. Britton O. J. Bueno−Orovio A. Orovio A. & Rodriguez
In Journal of Computational Science. 2020.
Details about The virtual assay software for human in silico drug trials to augment drug cardiac testing | BibTeX data for The virtual assay software for human in silico drug trials to augment drug cardiac testing | DOI (10.1016/j.jocs.2020.101202)
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Human Purkinje in silico model enables mechanistic investigations into automaticity and pro−arrhythmic abnormalities
B. Rodriguez. C. Trovato E. Passini N. Nagy A. Varró N. Abi−Gerges S. Severi
In Journal of Molecular and Cellular Cardiology. 2020.
Details about Human Purkinje in silico model enables mechanistic investigations into automaticity and pro−arrhythmic abnormalities | BibTeX data for Human Purkinje in silico model enables mechanistic investigations into automaticity and pro−arrhythmic abnormalities | DOI (10.1016/j.yjmcc.2020.04.001)
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Drug‐induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias.
B. Rodriguez. E. Passini C. Trovato P. Morissette F. Sannajust A. Bueno‐Orovio
In British Journal of Pharmacology. 2019.
Details about Drug‐induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias. | BibTeX data for Drug‐induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias. | DOI (10.1111/bph.14786)