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.
Translation from basic science to clinical and industrial applications is central to our research. We are also committed to training of postdocs and graduate students in an interdisciplinary, dynamic and flexible research environment to help them acquire the necessary skills for future jobs in academia, industry or government. Our research is currently supported by the Wellcome Trust, the BHF, the European Commission, EPSRC, IMI, ARCHER and the NC3Rs. We have previously been awarded funding from the Leverhulme Trust, the Royal Society,the Royal Academy of Engineering, the MRC and the BBSRC.
Carlos Ledezma, from the Department of Mechanical Engineering, at University College London, is visiting us this week to explore ways of collaboration.
He is part of the Multiscale Cardiovascular Engineering Group (MUSE), supervised by Dr. Vanessa Diaz. Carlos is one of the PhDs of a Marie-Curie Innovative Training Network called VPH-CaSE (http://vph-case.eu), which is funded by the EU Horizon 2020 research and innovation programme under grant agreement No 642612. His research is focused on how to interface in-silico methods, in-vitro experiments and in-vivo explorations.
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