Teaching cardiovascular medicine to machines

Dr. Pablo Lamata is a Wellcome Trust Senior Fellow in Basical Biomedical Science and a Reader in Computational Cardiology at King's College of London. His research interest focuses in the combination of imaging and computational modelling technologies to improve the management of cardiovascular diseases. His team (http://cmib.website/) develops solutions to stratify subjects according to the remodelling of cardiac anatomy, to characterise the performance of the heart during diastole, and to assess non-invasively the pressure driving blood flow in the central circulatory system. He is the coordinator of the EU consortium “Personalised In-Silico Cardiology” that develops modelling methodologies to optimize clinical protocols, from data acquisition to device parameters and intervention choices. Dr. Lamata has more than 15 years of experience in the development and clinical adoption of image analysis, physiological modelling, and surgical simulation and navigation solutions. He was a Marie Curie Fellow at Siemens, he obtained his PhD from the Universidad Politécnica de Madrid, and he received his MSc degree from the Universidad de Zaragoza. You can follow him on twitter: @pablolamata.
Source: Cardiovascular Research - Category: Cardiology Source Type: research