This project aims to establish an inter-university ECIU Rubber Chair bringing together the leading rubber groups from Tampere University, Lodz University of Technology, and the University of Twente. It is expected that this initiative will enhance the scientific excellence of the groups by facilitating close collaboration in research and education. Also, it will ensure a new level of visibility, allowing outreach to apply for EU grants, influence EU policy and intensify contact with society and industry. It is planned to coordinate the actions of the rubber groups gathered in the ECIU Rubber Chair toward the application for the MSCA This research focuses on developing a predictive algorithm for printing commercial bone cement scaffolds using bone density data categorised into three distinct classes. The machine learning algorithm will be developed based on CT image databases of accidental trauma, bone disease, osteopenia, osteoporosis to build the bone grafts needed. Image analysis will train and validate the ML algorithm to assist the printing process, including a parametric study focused on optimising thickness and channel diameter parameters of a Gyroid (TPMS) porous structure model, ensuring each scaffold matches the specific bone density class. The project integrates ML techniques with computational modelling and additive manufacturing processes, aiming to develop an end-user tool for scaffold printing for specific bone density classes. This complex and innovative approach requires a multidisciplinary team of experts in machine learning, materials and biomedical engineering to achieve its goals effectively.

Research Areas
Citizen Science; Circular Economy

Type of Action
Blended mobility to create networks

Joana Mesquita-Guimarães

joanaguimaraes@ua.pt

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