The TRUMPET project, funded under the Horizon Civil Security for Society program, aims to establish an Armored Federated Learning-based platform for researchers and solution developers. This platform facilitates the creation of tools for healthcare professionals while ensuring patient privacy and GDPR compliance during the analysis of patient data and comparisons with data from other institutions. Furthermore, the project focuses on developing privacy techniques for federated learning in the healthcare sector, emphasizing data security when sharing trained models among hospitals. The Ministry of Health (MOH) plays a pivotal role in various project work packages (WPs). In WP1, MOH contributes by providing insights, feedback, and new algorithms to enhance the project's architecture. WP4 sees MOH actively engaging in diverse tasks, including data acquisition, platform design, pilot preparation, validation, with a specific focus on privacy measures. In WP5, MOH extends its contributions to cover ethics, regulatory compliance, GDPR guidelines, and standards, further enriching the project's guidelines and actively participating in data agreements. Additionally, MOH plays an active role in dissemination activities in WP6 and contributes to coordination events and project administration in WP7. MOH's extensive involvement significantly enhances the project's overall impact and success.

Public services (as all others) are reaching the Digital Single Market (DSM). Secure and respectful electronic identity (eID) management is an important enabler for trust and confidence in the DSM. Emerging technologies can disrupt eID and have strong potential for empowering existing initiatives. In particular, IMPULSE focuses on 2 of the most promising and disruptive technologies nowadays: Artificial Intelligence (AI) and Blockchain, and their contributions to and impacts on eID. IMPULSE will carry out a user-centric and multidisciplinary impact analysis on the integration of Blockchain and AI on eID in public services, evaluating benefits but also risks, costs and limitations, considering socio-economic, legal, ethical and operational impacts, together with framework conditions (like GDPR and eIDAS regulations, existing eID systems, and standards). IMPULSE will use a demand-driven co-creation process as the guide, including pilot-oriented operational experimentation and involving Digital Innovation Hubs. A set of 6 representative and innovative case studies in Denmark, Spain, Bulgaria, Iceland and Italy, led by public service partner, will provide a variety of cultural, operational, legal, procedural and social contexts for research. Two major outcomes will be produced: 1) Holistic AI and blockchain technology supporting GDPR-compliant eID to complement existing EU identity schemas, ensuring cross-border access and secure and adaptable requirements for actionable integration with other public service providers, and adoption by existing Trust Service Providers (TSP) to ensure marketability. 2) Actionable roadmaps (detailing pathways and good practices) for the adoption, escalation and sustainability of such advanced eID technologies by public services in the EU ecosystem, in different countries and at different levels (local, regional, national and cross-border), as well as recommendations for policy makers supporting political accountability and responsibility.

The fundamental goal of the ANDANTE project is to leverage innovative hardware platforms to build strong hardware / software platforms for artificial neural networks (ANN) and spiking neural networks (SNN) as a basis for future products in the Edge IoT domain, combining extreme power efficiency with robust neuromorphic computing capabilities and demonstrate them in key application areas. The main objective of ANDANTE is to build and expand the European eco-system around the definition, development, production and application of neuromorphic hardware through an efficient cross-fertilization between major European foundries, chip design, system houses, application companies and research partners, as presented by the European Leader Group (ELG). The project brings together world class expertise to bring the world class expertise and infrastructures of Imec, CEA and FhG together with semiconductor companies, fabless, system houses, SMEs and application experts to explore and demonstrate the capabilities provided by the developed technologies. In the project, several applications will be assessed in key domains where Europe is strong (automotive, digital farming, digital industry, mobility and digital life). The aim is to reinforce and maintain strong leadership in these areas by bringing industry in contact with future memory technologies at a low TRL level (MRAM, OXRAM, FeFET). These cross-disciplinary efforts will lead to development of innovative hardware / software deep learning solutions, based on high TRL level RRAM/PCM and FeFET, to enable future products which combine extreme power efficiency with robust cognitive computing capabilities. This new kind of computing technology, combining ANN and SNN capabilities, will open new perspectives, for instance, environmental monitoring, and wearable electronics.

PERSIST aims at developing an open and interoperable ecosystem to improve the care of cancer survivors. The key results to be achieved by partners are: increased self-efficacy and satisfaction with care as well as reduced psychological stress for a better management of the consequences of the cancer treatment and the disease, resulting in an improvement in health and wellbeing and a faster integration into the labour market, where applicable, compared to usual care (KR1); increased effectiveness in cancer treatment and follow-up by providing prediction models from Big Data that will support decision-making and contribute to optimal treatment decisions with positive consequences in the QoL and the health status of survivors (KR2); and improved information and evidence to advance the efficacy of management, intervention and prevention policies/strategies in order to timely treat side effects and, if possible, avoid secondary diseases and fatal events. The long-term result will be to reduce the socio-economic burden related to cancer survivors’ care (KR3). The ecosystem proposed consists of a Big Data platform to be built on top of an open infrastructure from one of the partners and a mHealth application for patients. The main building blocks to be developed are a multimodal sensing network running on a smart phone that will collect relevant data regarding the wellbeing of the patient; predictive models from anonymised health data from thousands of breast and colorectal patients; and modules essential for the development of a decision support system, which will employ the predictive models mentioned. Furthermore, PERSIST will contribute to establish evidence on the use of liquid biopsy techniques to the follow-up of cancer patients treated with curative purposes. A pilot study involving 160 patients and 32 health care professionals will be decisive to establish a co-creation methodology ranging from the earlies phases of the project throughout its conclusion.