All projects progressed as expected, with all ESRs defending their PhD thesis in the following months.
CardioFunXion consolidated an open network of academic, industrial and clinical researchers via its open training events. Specifically, 4 Summer and 2 Winter Schools have been organized, covering topics aligned with its objectives (cardiovascular physiopathology; flow phenomena in biomedicine; mechanistic and machine-learning based modelling). They were open to the overall community, to increase the impact of the training actions and of the Marie Skłodowska Curie support within the research and industrial community. They also created opportunities for ESRs to interact with junior and senior profiles, and give ESRs an experience in the organization of research and training events. It involved a wide variety of relevant actors (such as VPH Institute, European Society of Biomechanics, Simula, QUAES Foundation). The last edition was organised in collaboration with the PIC (Personalised in-silico Cardiology) Marie Curie Initial Training Network, in order to promote its continuity after CardioFunXion ends.
Although not explicitly described in the original proposal, the project realised that its impact could be higher, if the platform for industrial-clinical-academic collaboration could also include interaction with policymakers and international organisations, contributing with the expertise available in the project from the unique scientific, industrial and clinical setting that CardioFunXion represents, and providing new opportunities for career development for the early stage researchers in the program.
For this purpose, the CardioFunXion team has been collaborating with the HUMAINT project within the JRC's Centre for Advanced Studies of the EC, which aims to understand the impact of machine intelligence on human behaviour, with a focus on cognitive and socio-emotional capabilities and decision making. The postdoctoral researcher Sergio Sánchez has supported the transfer of knowledge generated in CardioFunXion to the JRC team, in order to allow the researchers make an optimal participation in this collaboration, while not getting distracted from their main goal during this last part of their research project. Both projects co-organized the “Workshop on Artificial Intelligence (AI) in healthcare” (Barcelona, 5/07/19), aimed at AI researchers, biomedical scientists and physicians interested in the applications of AI in healthcare, and its technical and ethical implications. Bart Bijnens, coordinator of the CardioFunXion project, provided the talk “AI for clinical decision-making: challenges and opportunities” (video available in the webpage of the workshop).
The team has also involved collaborations with other reputed international organisations such as the World Health Organisation, the Auckland Bioengineering Institute of the Cardiology Care for Children in USA, just to name a few, providing students valuable contacts for their research and their future professional development, as well as new channels for the translation of the results of the project into other academic, clinical and policy contexts.