One consortium · Six connected Work Packages
WP1 - Guides ethical research and responsible data management. It covers informed consent, participant confidentiality and the ethical questions raised by digital biomarkers and biobanking. It also establishes data-handling procedures and considers fairness, transparency and accountability in the development of AI.
WP2 coordinates the consortium’s scientific and administrative activities. It monitors progress, budgets and risks while supporting quality assurance, reporting and cooperation across Work Packages. Regular exchanges help partners share knowledge, resolve challenges and keep research activities aligned with the project’s objectives.
WP3 develops the AI platform, digital interfaces and infrastructure connecting data, devices, clinicians and patients. It includes robotic sensory assessment technology and the integration of imaging and brain signals. Federated learning is designed to support collaborative, privacy-preserving model training.
WP4 combines brain imaging, neural signals and movement data through standardised collection and analysis methods. It develops AI models and explores synthetic imaging, while identifying digital biomarkers linked to sensory and motor recovery and evaluating their reliability and predictive performance.
WP5 conducts early clinical studies to collect data on stroke recovery and evaluate assessment technologies. It coordinates participant recruitment, follow-up assessments and data management, with monitoring of participant safety and data quality. The work also informs plans for further clinical evaluation.
WP6 shares research findings with scientific and public audiences. It engages patients, clinicians and other stakeholders to gather perspectives that inform research and future development. The work also covers intellectual property and regulatory planning, exploring routes towards future clinical and commercial applications.
