This paper explores the use of synthetic data as a privacy-preserving measure in data analysis, emphasizing the need to protect sensitive attributes while maintaining data utility. It investigates enhancements to the DataSynthesizer model, using Bayesian Networks to generate synthetic data that safeguards multiple sensitive attributes against inference attacks. The study contributes to the field by analyzing the impact of these techniques on data utility, presented at the 2023 IEEE International Conference on Big Data.
This deliverable presents the requirements for an ethical and trustworthy design of SYNTHEMA technologies. This deliverable outlines the regulatory challenges for AI systems in healthcare, discussing the role of regulations as both a barrier and a driver of technology innovation. Then, the seven principles for Trustworthy AI are discussed: these introduce the forthcoming AI Act. The deliverable analyses the forthcoming regulation and the risk categories and gives an overview of the standardisation activities related to the AI Act in the EU. The Value-Sensitive Design methodology is presented, and its implementation in the first year of SYNTHEMA is discussed. In the final section, the discussion on the ethical framework is narrowed down to seven key ethics requirements for the development of the SYNTHEMA technologies.
The present deliverable constitutes a reference document at consortium partners’ disposal for ensuring the highest quality in the execution of the project, by providing a framework of procedures, guidelines, standards and rules to guarantee the quality of project outcomes (e.g., deliverables, periodic reports, software, infrastructure).
The SYNTHEMA website (www.synthema.eu) includes key information about the project and aims to communicate to both professionals and wider audiences.
This document outlines the project dissemination, communication exploitation strategies for the SYNTHEMA Horizon Europe project.
This deliverable provides the Data management plan (DMP) initial draft for SYNTHEMA. SYNTHEMA has populated this DMP in line with recommended EC guidelines. It will be updated as the project proceeds. SYNTHEMA is novel in that the data assets to beproduced will be synthetic in nature. There may yet be a risk of re-identification given that the synthetic data will be generated based on inference from real data. The plan therefore considers this paradigm carefully in its plans.
Welcome to the SYNTHEMA’s 2nd Newsletter – Dive into the heart of a Horizon Europe initiative revolutionizing rare hematological diseases research. This edition brings you a glimpse into SYNTHEMA’s core, synergy in action (SYNTHEMA/Genodmed4All) and voices from the 8th General Assembly Harmony Plus.
Dive into the heart of a Horizon Europe initiative revolutionizing rare hematological diseases research. This edition delves into SYNTHEMA’s approach to overcoming data fragmentation and advancing research through a collaborative platform, linking clinical centers, research facilities, and industries. Explore SYNTHEMA’s focus on Sickle-Cell Disease (SCD) and Acute Myeloid Leukemia (AML), and its five strategic research objectives.