Important representation of PersonalizeAF project in the Computing in Cardiology Conference (CinC 2021)

Several members of PersonalizeAF project are present at the Computing in Cardiology Conference (CinC 2021), taking place in Brno (Czech Republic) from 12 to 15 September. It is the first time that many of them meet in person, since face-to-face events have not been possible until now due to the COVID pandemic.

Among the different presentations of members of the project, the one by Carlos Fambuena stands out, since he has been nominated for the Rosanna Degani Young Investigator award for the article “An evaluation on the clinical outcome prediction of rotor detection in non-invasive phase maps” in which Rubén Molero Alabau, Andreu M. Climent and Maria de la Salud Guillem Sánchez from the ITACA Institute of the Universitat Politècnica de València (ITACA-UPV) and Ismael Hernández-Romero from University Rey Juan Carlos also participate. Carlos Fambuena is the ESR11 of the PersonalizeAF project, developing his research at ITACA-UPV.

Alexander Lacki, also an Early Stage Researcher of PersonalizeAF at ITACA-UPV, has presented “Periodicity Unraveled: A Deep Learning approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation”, an article in which Andreu M. Climent and Maria de la Salud Guillem Sánchez from ITACA-UPV) and Ismael Hernández-Romero from University Rey Juan Carlos also participate.

According to Maria de la Salud Guillem Sánchez, coordinator of the project, the members of the consortium will be able to meet in person in January 2022 in Valencia during the 4th PersonalizeAF meeting, as long as the pandemic situation allows it.

The project

PersonalizeAF is a European project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.860974.

PersonalizeAF delivers an innovative multinational, multi-sectorial, and multidisciplinary research and training programme in new technologies and novel strategies for individualized characterization of atrial fibrillation substrate to and increase treatments’ efficiency. In this initiative, universities, hospitals and European companies that investigate atrial fibrillation from different fields participate. Using artificial intelligence, signal processing or stem cell research, PersonalizeAF brings together engineers, clinicians, and biologists to improve treatments, develop new diagnostic methods, and optimize patient management.