The MeDiTATe project at the 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22)

Early Stage Researcher 03, Beatrice Bisighini, will be presenting her work entitled “Reduced Order Modelling for the simulation of braided stent deployment” at the 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22). The event will be held from June 27th to 29th at Politecnico di Milano.
In this work, the development of a fast and accurate reduced order modelling scheme to approximate the simulation of braided stent is proposed. Its validity and effectiveness have been proven by studying the effect of three geometrical parameters describing an idealised stenotic artery on the stent deployed configuration.
CompBioMed and DICE hosting a workshop about biomedical data management

CompBioMed Centre of Excellence and the DICE project will be hosting a hands-on workshop regarding biomedical data management and publication. A great opportunity for participants and our Early Stage Researchers to gain experience on how HPC biomedical researchers use data management services to make their data FAIR.
The workshop will be held on the 21st of June 2022 in Bologna (Italy) at the premises of CINECA, one of the MeDiTATe Consortium partners.
The event is free of charge and few places are still available. Registration can be completed at the following link: Data management and publication – A DICE&CompBioMed Hackathon.
Great participation of the MeDiTATe project in the ESBiomech 2022 congress








The MeDiTATe project will be participating in the ESB 2022, the 27th Congress of the European Society of Biomechanics. The event will take place from June 26th to 29th in Porto, Portugal. In this occasion several Early Stage Researchers will be presenting the results of their activities. Here’s the complete list of the participants with their work.
ESR 01, Antonio Martinez Pascual: Evaluating the effect of computational domain reduction in ascending aorta simulations.
Novel diagnostic techniques are arising by enhancing the diagnosis of cardiovascular diseases with the insight given by simulation. However, it is often difficult to adapt these advances into everyday clinical-routine as data needed to personalize the models is often missing, or incomplete. In this study, the effect of reducing the computational domain for ascending thoracic aortic aneurysm (ATAA) simulations by eliminating the arch and descending sections is assessed. The ultimate goal is to understand the requirements for fast and efficient patient-specific modeling, in order to develop appropriate workflows focused on solving real clinical needs.
ESR 02, Leonardo Geronzi: Calibration of the mechanical boundary conditions of a thoracic aorta model including the heart motion effect. In this study, an accurate patient-specific computational model of the thoracic aorta is presented and a new procedure for optimising the visco-elastic structural supports reproducing the interaction of the aorta with the spine and the soft tissue is proposed. The model allows for the inclusion of the heart motion applied at the level of the annulus and is validated by using the available MRI sequences of the vessel. Read More
A talk with Dr. Marco Evangelos Biancolini

Here is a chat with Dr. Marco Evangelos Biancolini, Associate Professor and member of the Scientific board of the Doctorate School at the University of Rome “Tor Vergata”. He is the Principal Investigator of the MeDiTATe project and the academic supervisor for Early Stage Researchers 1, 9 and 12.
Professor Biancolini, the MeDiTATe project is now in its 2nd year. What are your thoughts at this stage of the project?
I am writing this answer at 33000ft while traveling toward Trondheim to reach all our ESRs for a training event. Sounds good, isn’t it? Despite the pandemic and all the difficulties faced we are now in a very good position. We are recovering all the missed opportunities to work together in person. All the IRPs are progressing good and the hard time of the lockdown and at home working is, hopefully, ended. Last week we had an internal meeting to arrange the upcoming summer school in Greece. The industrial and scientific program is progressing as expected and we are all enthusiastic to consolidate our MeDiTATe community thanks to the many in person meetings we are finally allowed to do.
Let’s talk about the idea behind MeDiTATe. The project received funding from the EU in the Framework of Horizon 2020 programme, therefore it is clear that the approach that you propose meets the EU’s ambition to exploit scientific research to improve the treatment of the Cardiovascular diseases and patient care. How can the scientific community benefit from your work?
I am proud and happy to lead this project. MeDiTATe originated from an industrial and scientific network already active in the in silico approach and committed toward the creation of Medical Digital Twins. We are a European Industrial Doctorate (EID) and the synergy between industry, academic and health research is a paramount. Our EID nature is not only important for our ESRs that are acquiring top skills and a mindset oriented toward the deployment of what learnt, but also for the high TRL we can reach thanks to the industrial partners involvement that is allowing us to start the transfer of results right now, in the middle of the project. It is worth to emphasize that we have already pending patents. This means that benefits are not only limited to the scientific community but will soon help patients, and this is our major focus. We are not doing here basic research and I believe that one of the major benefit for the scientific community will be in the strong connection we are creating with cohorts of patient data within MeDiTATe and the state of the art and beyond state of the art approach we are setting up in the definition of a Medical Digital Twin. Read More
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- The MeDiTATe project at the 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22)
- CompBioMed and DICE hosting a workshop about biomedical data management
- Great participation of the MeDiTATe project in the ESBiomech 2022 congress
- A talk with Dr. Marco Evangelos Biancolini