O QUE FOI APRESENTADO
Finalidade da operação
To enable computationally personalized diagnostics and tailored treatment strategies in clinical practice, we propose a comprehensive computational effort that integrates a multitude of knowledge-base, machine-learning techniques, and advanced computational methods into an innovative software tool. The primary objective of this tool is to automate the intricate processes involved in biomechanical modeling and simulation. Our approach relies on the automatic generation of subject-specific biomechanical models of the shoulder from medical imaging data, along with their automated application under predefined conditions. By generating musculoskeletal and finite element biomechanical models that are consistent with each other, the software tool can provide estimates for a comprehensive set of…
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To enable computationally personalized diagnostics and tailored treatment strategies in clinical practice, we propose a comprehensive computational effort that integrates a multitude of knowledge-base, machine-learning techniques, and advanced computational methods into an innovative software tool. The primary objective of this tool is to automate the intricate processes involved in biomechanical modeling and simulation. Our approach relies on the automatic generation of subject-specific biomechanical models of the shoulder from medical imaging data, along with their automated application under predefined conditions. By generating musculoskeletal and finite element biomechanical models that are consistent with each other, the software tool can provide estimates for a comprehensive set of biomechanical parameters, such as muscle forces, joint reaction forces, bone strains, or joint contact pressures. To assess the accuracy, efficiency, and effectiveness of the software tool, we will compare the automated process with traditional methods for generating biomechanical models. The objective is to establish that the output from the automatically generated models meets the standards set by traditional methods. As a preliminary assessment of the diagnostic capabilities of the developed software tool, we will focus on its application to a selected group of patients with glenohumeral OA. The objective is to determine whether the biomechanical models generated by the software can effectively identify key biomechanical factors characterizing this population. This proof-of-concept lays the groundwork for potential avenues that may contribute to advancements in the understanding, prevention, and treatment of glenohumeral OA. In summary, the PROMOTE-BIO project addresses the imperative for personalized medicine through the development of an innovative software tool. This tool not only automates biomechanical modeling but also strives to integrate it into clinical practice, thereby empowering personalized diagnostics and treatment recommendations. Through this initiative, we will contribute to elevating the standard of care, bridging the gap between advanced biomechanics and everyday clinical decision-making. Moreover, PROMOTE-BIO holds promise to facilitate groundbreaking research endeavors, enabling researchers, clinicians, and engineers to delve into complex biomechanical phenomena, foster innovation, and deepen our understanding of musculoskeletal disorders and treatments.
PROGRAMA E OBJETIVOS
Como a operação está enquadrada
- Programa
- Programa Inovação e Transição Digital
- Fundo
- Fundo Europeu de Desenvolvimento Regional
- Objetivo estratégico
- + Inteligente
- Objetivo específico
- Reforçar a investigação, inovação e adoção de tecnologias avançadas.
- Área temática
- Investigação, Desenvolvimento e Inovação
- Atividade económica
- Outra investigação e desenvolvimento das ciências físicas e naturais
- Modalidade
- Subvenção
- Taxa de cofinanciamento
- 85%
ONDE
Distribuição territorial publicada
Localização observada no ficheiro de 31 de agosto de 2026.
QUANDO
Calendário publicado
- Início previsto
- 14 de julho de 2025
- Início efetivo
- 13 de novembro de 2025
- Conclusão prevista
- 12 de julho de 2028
- Conclusão efetiva
- Não indicada