Synthetic Generation of Hematological Data Over Federated Computing Frameworks: SCD Use Case

"O1. Provide novel methods and capabilities to generate synthetic multimodal clinical, omics and imaging data for SCD with a validated clinical result.~O2. Develop de-identification, minimisation and anonymisation pipelines, including automatic assessment of privacy levels, at the service of clinical research and care.~O3. Consolidate and scale-up the use of FL applications, SMPC and DP solutions for privacy-preserving local algorithm training and global model aggregation.~O4. Ensure ethical and GDPR compliance in anonymised and synthetic data-driven research in RHDs.~O5. Ensure wide uptake and scalability of the developed methodologies and tools through effective stakeholder engagement, dissemination and open science practices."