Sister Projects Cluster
The AISym4MED project has joined a dynamic cluster of sister projects “HEALTHDATA4EU” funded under the HORIZON-HLTH-2022-IND-13-02 call. These synergies bring together leading-edge initiatives, each committed to leveraging technology to advance patient care and dismantle data silos.
At the heart of this initiative is a collective mission: to harness cutting-edge technologies and drive impactful change in healthcare delivery. With a focus on enhancing accessibility and efficiency in patient care, these projects are poised to revolutionize the healthcare landscape across the European Union.
Meet the sisters projects:
SYNTHEMA
Breaking barriers in rare hematological diseases, SYNTHEMA aims to establish a cross-border health data hub. By pioneering AI-based techniques for clinical data anonymization and synthetic data generation, SYNTHEMA seeks to address data scarcity and fragmentation, paving the way for GDPR-compliant research in this critical area.
PHASE IV AI
Advancing AI in healthcare, PHASE IV AI pioneers synthetic data generation to overcome barriers in data accessibility and privacy. By developing state-of-the-art synthesis methods and privacy-compliant protocols, PHASE IV AI accelerates the adoption of AI-powered tools for preventive healthcare and clinical decision-making.
SECURED
Spearheading a cross-border health data collaboration ecosystem, SECURED offers a secure collaboration hub for decentralized processing of health data. Trough Privacy Preserving Computation techniques such as secure multiparty computation (SMPC) or Homomorphic Encryption (HE) and synthetic data generation, SECURED facilitates innovation in health data analytics and fosters collaboration among stakeholders.
FLUTE
Revolutionizing healthcare data utilization, FLUTE enhances predictions of aggressive prostate cancer through privacy-preserving AI support to physicians. By minimizing unnecessary biopsies, FLUTE improves patient outcomes and reduces healthcare costs.
PHEMS
Leading the change in pediatric healthcare innovation, PHEMS establishes a decentralized health data ecosystem. By leveraging federated analytics and machine learning, PHEMS transforms pediatric care for children’s hospitals.
AISYM4MED
We, from AISYM4MED, aim to develop 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.
