Strong AyaStrong AyaThis document establishes a quality assurance process for the vantage6 algorithms used in STRONG-AYA.
DownloadThis document describes a software management plan for the vantage6 software for federated learning.
DownloadThis report contains the initial Core Outcome Set (COS), including the methodology for its development.
DownloadOverview of the educational leaflets and recommendations for patient recruitment, healthcare professional and strategic leaders engagement.
DownloadThis package includes regulatory and ethics approvals, the study protocol and registration number.
DownloadThis deliverable reports on participant recruitment for the qualitative and Delphi study.
DownloadReport of the first meeting of the STRONG-AYA Ethics and Regulatory Advisory Board (ERAB) in year 1.
DownloadReview of patient involvement and evaluation practices focused on AYA cancer research and their relation to STRONG-AYA.
DownloadReport of the second meeting of the STRONG-AYA Ethics and Regulatory Advisory Board (ERAB) in year 2.
DownloadThis interim DMP sets out the vision for decentralized data management, including storage, privacy and FAIR principles.
DownloadThis architectural blueprint outlines the STRONG-AYA technical infrastructure requirements to build the foundation of the federated learning ecosystem.
DownloadThis deliverable reports on the core elements of how the insights gained from federated data analysis will be shared with stakeholders.
DownloadThis report describes the technological integration framework between stakeholder-centric data visualization dashboards and the system architecture.
DownloadTraining material developed by the STRONG-AYA Patient Advisory Board (PAB) members to inform their understanding of the project.
DownloadContext and rationale for STRONG-AYA pan-European ecosystem, its governance and operational activities.
DownloadInitial list of priority ways in which STRONG-AYA research and ecosystem will be used by stakeholders.
DownloadReport of the first year of operation of the STRONG-AYA ecosystems, including methodology to assess reliability of outcomes.
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