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KERALTY SAS

Country: Colombia
2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 814607
    Overall Budget: 18,387,400 EURFunder Contribution: 14,534,400 EUR

    Society and clinical practice pose a growing demand on novel biomaterials, ICT, micro and nanotechnologies for innovative medical devices and in vitro diagnostics (Medical Technologies-MTs). In addition to the challenge of time, the new technologies are subjected to other pressing factors such as qualification, regulation, cost, biocompatibility and the need to be applicable worldwide. In the most recent years it is obvious that nano-enabled MTs can be applied in nearly every medical area, with a major presence and increased importance in cancer, regenerative medicine, advanced therapies, neurology, cardiology, orthopaedics, and dentistry. On the other hand, any innovation in the Health sector has to be carefully assessed in terms of risk/benefit ratio. Nano-enabled MTs particularly require careful assessment, since they are complex products group and their technological assessments are still under development. This assessment will be a key pillar for the here proposed Open Innovation Test Bed (OITB) To address all the aforementioned challenges, the SAFE-N-MEDTECH consortium aims to bring a strong and competitive cooperation to compete in the market for a coordinated OITB for nano-enabled MTs. SAFE-N-MEDTECH will build an innovative open access platform to offer to companies and reference laboratories, the capabilities, knowhow, networks and services required for the development, testing, assessment, upscaling and market exploitation of nanotechnology-based Medical and Diagnosis Devices. This across the whole Life Cycle. This OITB will offer a multidisciplinary and market oriented innovation approach to SME´s, Healthcare providers and Industries for the translation to the market of MTs, based on a deep understanding and knowledge of the material-nanoproperties, their advance use and applications in MTs and other aspects involved in MTs safety (electric compatibility, electromagnetic properties, etc).

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  • Funder: European Commission Project Code: 101156210
    Funder Contribution: 11,998,500 EUR

    Women’s cardiovascular health is an urgent clinical unmet need as reported by the European Society of Cardiology (ESC), as cardiovascular disease (CVD) risk in women still tends to be underestimated by clinicians and women themselves. CVD is under-diagnosed, under-treated and poorly understood, more so in women in the 40-60 age group, when personalised risk assessment and prevention can have a positive impact on their health. In this context, CARAMEL will deliver an innovative personalised prevention model aimed at women 40-60yrs based upon a risk assessment stratification model considering sex and gender specific risk factors and a self-assessment and self-management approach using innovative digital technologies, empowering women to optimise their cardiovascular health. The proposed CVD-Risk Assessment and Stratification scheme will only be possible by the cumulative risk factors analysis, fueled by AI, emerging from a wide number of different data sources, including clinical data from EHR, medical imaging, biomarkers, metabolomics, lifestyle information (sleep, physical activity, diet) from large cohorts and biobanks. A consortium composed by 25 partners and Affiliated Entities coming from 11 countries, composed by 9 clinical entities, 6 research organisations and 10 industry and SMEs will develop, test and validate the personalised prevention program in observational and interventional studies in clinical sites in Colombia, Croatia, Greece, Lithuania and Spain. To that end, engagement of women aged 40-60, will take place from the onset on the co-design and co-creation of the studies and the self-management app ecosystem to be developed. Likewise, Gender in research will be mainstreamed all along the intervention. CARAMEL will also deliver policy recommendation and clinical guidelines supporting the design and update of CVD Plans by health authorities and healthcare providers, considering novel AI based risk models, applicable to women aged 40-60 yrs.

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