On Thursday, December 16, a plenary meeting will be held by the working group of the project VI CURA 4.0 – “Virtualization of heart disease for health and heart care 4.0”, of which Techinnova is the lead partner.
For the occasion, the invitation was extended to the entire team of technological partners involved in the project, including:
Four private proposers from the high-tech and IT sector – Techinnova, Immedia SPA, SNJ Media Studio and Athesys;
The Catholic University of the Sacred Heart, as an institution with expertise and facilities in the field of cardiology and cardiac surgery.
The meeting will take place right at the heart of the Fondazione Policlinico Universitario Agostino Gemelli IRCCS, home of the Faculty of Medicine and Surgery of the Università Cattolica del Sacro Cuore: in fact, the session will be held in the Gemelli Training Center, the place of advanced training aimed at putting at the service of all health care professionals not only their scientific and technical skills, but also the products of innovation resulting from research activities.
The meeting will be a moment of general update on the progress of the project VI.CURA 4.0, which aims to optimize and “customize” the paths of diagnosis and treatment of heart disease through the development of new SW and HW components useful to offer an innovative service of three-dimensional digital modeling (3D) printable human heart and its pathologies. The 3D modeling service will serve as a support tool for the simulation of surgical interventions, medical-scientific training and doctor-patient communication, in a field – that of cardiovascular diseases – among the most important and delicate for public health.
The project team will thus have the opportunity to experience the first tangible results deriving from the R&D activities, which foresee – in the final analysis – the development and the final integration in a web interface platform with the users of different technological solutions, including
software for creating 3D heart models from two-dimensional clinical imaging data, using semi-automatic and automatic image processing approaches (based on high-resolution point cloud acquisition, tagging and semantic segmentation based on deep learning);
blockchain-based cloud hosting of the database of 3D images and models;
development of a virtual reality lab for remote heart study;
and finally the development of a web platform for on-demand modeling and e-learning services.
The meeting will also allow the partners involved to make proposals to further optimize the data collected during the research activities, bringing to light aspects and possibilities of use of the future platform that could benefit many local realities in the medical field.
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