Based on previously developed models and an existing prototype of a clinical decision support system (patent pending), we set out in this project to further develop, test, and validate this clinical decision support for the treatment stratification of acute stroke patients to improve patient outcome. Machine learning (ML)-enabled Artificial intelligence (AI) methods are increasingly adopted in the medical field. Implementing ML-based CDSSs have the potential to be go beyond the current clinical state-of-the-art as AI excels at finding complex and non-linear relationships across a multitude of prognostic variables. AI also has the promise to combine different modalities, such as imaging and clinical values, leading to powerful stratification tools accounting for a multitude of patient sub-populations. Our consortium combines excellence in technical and medical machine learning development with the clinical expertise of three leading stroke hospital partners. Additionally, our consortium benefits from the special expertise in the development of trustworthy AI, software design, and the translation of AI models to the clinical setting with focus on the regulatory process. By leveraging the available medical data and exploiting technological opportunities in the field of AI, and developing and validating trustworthy AI solutions to be implemented in the clinical workflow we are seeking to surpass the clinical state-of-the-art by making a significant and sustainable impact on the treatment of acute stroke that will improve patient survival, outcome and quality of life. The results of our work will serve as a pathway for future projects and we will make our experiences public in the form of standard operating procedures (SOPs) in the areas of development, testing, validation, and regulatory processes.

The objectives of SEARCH are truly ground-breaking, seeking to enable extensive data aggregation and analysis while safeguarding the integrity and privacy of original datasets through synthetically derived proxies. This initiative is designed to address biomedical challenges in Europe and offer translational solutions that will ultimately contribute to the advancement of personalised medicine. Unlike traditional data-sharing platforms that mainly focus on technical obstacles, SEARCH adopts an innovative approach by addressing legal, ownership, and subject privacy concerns. It specifically targets distributed institutional repositories that are hesitant to share multimodal clinical data, overcoming security concerns through a combination of clinical synthetic data proxies and a Federated Learning framework. Until synthetic data proxies gain wider acceptance, this combined strategy aimed at alleviating security concerns, facilitates the scalability required for AI analysis and promotes creative public-private data collaborations. SEARCH will offer advanced data federation capabilities, incorporating unique Synthetic Data Generation features to create various data types, including those not comprehensively addressed currently (e.g., wearable device data, image sequences, and genomic data). Through curated access to these novel digital tools, SEARCH will facilitate convenient access for the healthcare industry and research community to address bottlenecks and challenges in the development of novel tools for personalized prevention, diagnosis and treatment based on explainable AI. Moreover, SEARCH will provide agreed-upon gold standard synthetic datasets for evaluating the performance of biomedical AI solutions. SEARCH aims to consolidate European Innovation and Research endeavours by promoting public and private collaborations to unlock the potential for innovation in the digital healthcare sector.

5G-VINNI will accelerate the uptake of 5G in Europe by providing an end-to-end (E2E) facility that validates the performance of new 5G technologies by operating trials of advanced vertical sector services. The 5G-VINNI strategy to achieve this involves: (1) Designing the most advanced 5G facility to demonstrate that technical and business 5G KPIs can be met, (2) Building and operating 7 interworking instances of the E2E facility to prove the capabilities and openness of the system, (3) Creating user friendly zero-touch orchestration, operations and management systems for the 5G-VINNI facilities to ensure operational efficiencies and optimal resource use, (4) Proving the 5G-VINNI capabilities through extensive experiments and measurements of performance against the 5G KPIs, (5) Developing a viable 5G ecosystem model to support the NaaS infrastructure provision as a sustainable business beyond the project, and (6) Promoting the value of 5G-VINNI results to the relevant standards bodies and open source communities. The 5G-VINNI E2E facility will demonstrate the achievement of 5G KPIs across a range of combinations and permutations of new 5G access technologies and end-user equipment types interconnected by the most advanced 5G core network technologies available. For this 5G-VINNI will leverage the latest 5G technologies, including results from previous 5G PPP projects. This approach employs Network Function Virtualization, Network Slicing and a rigorous automated testing campaign to validate the 5G KPIs under various combinations of technologies and network loads. To ensure realistic load scenarios 5G-VINNI will create and make available an openness framework to give verticals and peer projects easy access to the 5G-VINNI facilities, both legally and technically, e.g. via open APIs. The 5G-VINNI facilities include 7 infrastructure instances in nationally supported 5G nodes across Europe; this number may be expanded as the ICT-19 projects come on-line in 2019.

In the global race towards 5G, the establishment and implementation of the 5G-PPP programme in the EU has significantly strengthened the position of Europe, promoting both technological excellence and industrial leadership. So far, 5G-PPP Phase 1 and Phase 2 projects have been proven quite successful in developing focused solutions, targeting specific technical innovations. Now, the crucial next step in the “Genesis of 5G”, in Europe but also worldwide, is to integrate all these highly diverse results and technologies in order to “glue together” the 5G picture and unveil the potential of a truly full-stack, end-to-end 5G platform, able to meet the defined KPI targets. In this context, the main goal of 5GENESIS to validate 5G KPIs for various 5G use cases, in both controlled set-ups and large-scale events. This will be achieved by bringing together results from a considerable number of EU projects as well as the partners’ internal R&D activities in order to realise an integrated End-to-end 5G Facility, built on five diverse in terms of capabilities –yet fully interoperable- experimentation platforms distributed across Europe and interconnected with each other. The platforms will emerge as the evolution of existing testbeds, already owned and operated by the 5GENESIS partners, suitable for large-scale field experimentation. The 5GENESIS Facility, as a whole, will: - implement and verify all evolutions of the 5G standard, via an iterative integration and testing procedure; - engage a wide diversity of technologies and chain innovations that span over all domains, achieving full-stack coverage of the 5G landscape; - unify heterogeneous physical and virtual network elements under a common coordination and openness framework exposed to experimenters from the vertical industries and enabling end-to-end slicing and experiment automation; and - support further experimentation projects, in particular those focused on vertical markets.