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Financement de l’UE (6 341 765 €) : Plateforme de données synthétiques et évolutives pour l’IA médicale Hor01/12/2022 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Plateforme de données synthétiques et évolutives pour l’IA médicale
AISym4Med aims at developing a platform that will provide healthcare data engineers, practitioners, and researchers access to a trustworthy dataset system augmented with controlled data synthesis for experimentation and modeling purposes. This platform will address data privacy and security by combining new anonymization techniques, attribute-based privacy measures, and trustworthy tracking systems. Moreover, data quality controlling measures, such as unbiased data and respect to ethical norms, context-aware search, and human-centered design for validation purposes will also be implemented to guarantee the representativeness of the synthetic data generated. Indeed, an augmentation module will be responsible for exploring and developing further the techniques of creating synthetic data, also dynamically on demand for specific use cases. Furthermore, this platform will exploit federated technologies for reproducing un-indentifiable data from closed borders, promoting the indirect assessment of a broader number of databases, while respecting the privacy, security, and GDPR-compliant guidelines. The proposed framework will support the development of innovative unbiased AI-based and distributed tools, technologies, and digital solutions for the benefit of researchers, patients, and providers of health services, while maintaining a high level of data privacy and ethical usage. AISym4Med will help in the creation of more robust machine learning (ML) algorithms for real-world readiness, while considering the most effective computation configuration. Furthermore, a machine-learning meta-engine will provide information on the quality of the generalized model by analyzing its limits and breaking points, contributing to the creation of a more robust system by supplying on-demand real and/or synthetic data. This platform will be validated against local, national, and cross-border use-cases for both data engineers, ML developers, and aid for clinicians’ operations.
| Imperial College of Science Technology and Medicine | ? |
| Asociacion Instituto de Investigacion Sanitaria Biobizkaia | 404 725 € |
| Associação Fraunhofer Portugal Research | 1 051 553 € |
| Ayesa Ibermatica SA | 212 500 € |
| Consorcio Sanitario de L'Alt Penedes y Garraf (Csapg) | 498 750 € |
| Instrumentacion y Componentes SA | 1 205 000 € |
| Nova ID FCT - Associação para A Inovacao e Desenvolvimento da FCT | 481 695 € |
| Saidot Oy | 548 750 € |
| Servicio Vasco de Salud Osakidetza | 0,00 € |
| Tiga Bilgi Teknolojileri Anonim Sirketi | 394 375 € |
| Timelex | 417 188 € |
| Universidade do Porto | 349 755 € |
| Universitair Medisch Centrum Utrecht | 313 100 € |
| Zabala Brussels | 464 375 € |
| Zabala Innovation Consulting SA | 0,00 € |
https://cordis.europa.eu/project/id/101095387
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Imperial College of Science Technology and Medicine, Londres, Royaume Uni.
