TransCOR

Translational Computing in Cardiology

TransCOR is an interdisciplinary research group dedicated to developing and implementing computational tools that integrate mechanistic models, data-driven approaches, and physiological knowledge to enhance clinical workflows and decision-making; particularly in the fields of cardiology and obstetrics.  
  • Interpretable machine learning for the analysis of multimodal medical data.
  • Computational models of the cardiovascular system.
  • Image analysis and processing, especially of ultrasound and synchrotron.
  • Web-based architectures for medical data storage and analysis.
  • Congenital cardiac pathologies and syndromes.

Team coordinators

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Bart Bijnens

 

ICREA Research Professor at UPF (Universitat Pompeu Fabra). Technology MSc in Electronic Engineering and PhD in Medical Sciences (1997, Catholic University of Leuven, Belgium). Since 1998 he is an Associate Professor of Cardiovascular Imaging and Cardiac Dynamics at the Faculty of Medicine in Leuven. Since 2007, he is also a Visiting Professor at the University of Zagreb, Croatia, where he resided during 1 year. He has also stayed at St George's Hospital in London (2005-2006), supervising clinical research. Since Sept 2008, he is an ICREA researcher at the Department of Information and Communication Technologies of the Universitat Pompeu Fabra.

Works on translational Cardiovascular Pathophysiology, focussing on assessing cardiac function and understanding and recognising the changes induced by disease and how treatment strategies can be used to modulate these. This is approached by integrating information handling and processing techniques, combined with basic knowledge on cardiovascular pathophysiology, in order to advance clinical sciences. This implies defining the research approach from the basic understanding of the disease towards the clinical study; selecting/designing the appropriate investigational tools to assess the relevant clinical parameters; quantifying the diagnostic information (from clinical information to imaging data) to extract the most pertinent information and interpreting the results and relate them to the pathophysiological knowledge.

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Find the complete information on the group’s website

TransCOR