PSYHEALTH WORXS! - PSYCHOSOCIAL HEALTH PREVENTION AND WORK STANDARDS: TRAINING FOR OSH PROFESSIONALS AND EXECUTIVES- EIT HEALTH- BP 2020 refª: 20458 I BP2022-25 refª 220140

(montante financiado: 814,341€) 

WAge: HEALTHY WORKING ENVIRONMENTS FOR ALL AGES: AN EVIDENCE-DRIVEN FRAMEWORK I HORIZON-HLTH-2023-ENVHLTH-02 — Evidence-based interventions for promotion of mental and physical health in changing working environments (post-pandemic workplaces)

O Projeto REinventO - Reinvent the way we build custom made Orthosis, representado por um consórcio multidisciplinar, surge com o objetivo de implementar uma nova estratégia para a produção de ortóteses personalizadas in situ.
No âmbito do projeto pretende-se desenvolver um sistema para a captura, modelação e impressão de ortóteses sem necessidade de um utilizador especializado em CAD/CAM, para utilização em ambiente clínico (clínicas, centros de reabilitação, etc.) e industrial. O novo sistema de fabrico de ortóteses reinventado, para utilização em contexto médico, permitirá a produção de ortóteses, através da utilização de um novo sistema de captura one shot a 360º, tecnologia de fabrico aditivo e um software inovador adaptado às necessidades dos clínicos e técnicos de saúde.

The aim of this project is o develop an automated musculoskeletal injury risk score for professional football players, that is more valid, reliable and has greater predictive ability than the FMS (Functional Movement Screen).

It will be created a new battery of tests to screen football players for the risk of musculoskeletal injuries, and a database of movement patterns that will allow the creation of a new injury risk score.

The Summer School in Mobility and Active Ageing aims to train professionals to design, develop, and implement support, or health and functional independence promotion solutions for persons with reduced mobility or at risk of mobility reduction, when carrying out their daily activities.

More information here

CPJoyWalk - Development of a simulation platform based in musculoskeletal models to predict recovery of gait following orthopedic interventions in cerebral palsy children

The aim of this project is to develop a biomechanics simulation platform (in silico) based in subject-specific musculoskeletal models capable of predicting the outcome of the different surgical procedures, that will enable the surgeon to better select the one that has the highest potential of improving gait performance