AI-empowered Personalized Medicine promises to find tailored, targeted, nearly “hand-made” cures for patients. Cancer treatment desperately needs boosters to find tailored, targeted cures for patients and Personalized Medicine can play a crucial role. Tailored targeted therapies in cancer treatment are already a reality but the current practice of targeted therapies in cancer treatment has been derived with traditional methods of data analysis. AI-empowered Personalized Medicine may help to bring targeted therapies to the next level. However, no matter how precise it is, no matter how many lives it can save in principle, and no matter if it can utilize the entire medical knowledge. If clinicians do not understand its suggestions and decisions, AI-empowered Personalized Medicine will not be a game changer, clinicians will not use it to make everyday decisions and, thus, it is doomed to fail. Hence, the real challenge is building AI-empowered Personalized Medicine systems that can be accepted by clinicians and clinical researchers. In KATY, we grasp the above challenge and we propose an AI-empowered Personalized Medicine system that can bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The AI-empowered knowledge is a human interpretable knowledge that clinicians and clinical researchers can: understand, trust and effectively use in their everyday working routine. KATY is then a AI-empowered Personalized Medicine system built around two main components: A Distributed Knowledge Graph and A pool of eXplainable Artificial Intelligence predictors. As a stress test and due to the lack of personalized clinical responses, KATY will be experimented in a low prevalence and complex cancer: Clear cell renal cell carcinoma (ccRCC).

HS4U offers an evidence-based approach extending standardized design and regulatory paradigms towards industry 5.0. The project is promoting principles of modularization, optimization, and smart systems engineering towards the detection, prevention, mitigation and management of large passenger and cruise ships. Hence, HS4U holistic solutions for stress relief over conditions of health crises prioritize the assessment of typical cruise designs and day-to-day tasks. Following its two use cases (CELESTYAL and COLUMBIA BLUE), and its 4U(nique) pillars approach for research, i.e.1.societal/human, 2.environmental, 3.technological, 3.legislation factors, it adopts and delivers state-of-the art ecosystem of technologies offering groundwork to rethink health and safety designs and frameworks. HS4U bridges cross-sectorial multidisciplinary expertise to cross-fertilize research findings and provide best practices, protocol/policy recommendation and a complete solution for crew training based on multi-player gaming. Validation of proposed technology and passenger behavioral model will be based on live experiments. Special HS4Us open source/FAIR offerings are, ⁃ Collaborative digital framework (CDF) for live interaction of crew/passengers and IoT edge devices on the ship based on co-robotics concepts and Artificial Intelligence mechanisms and models. ⁃ Viral Detection Sensor (VDS) that will be developed, tested, validated, delivered, patented and commercialized to offer online indication of the location of pathogenic airborne spreads in indoor environments. ⁃ “Robot-cabin” real-life demonstrator displaying evidence-based 4U solutions on the interoperability of smart, and innovative methods for ship systems effective and fast detection, prevention, mitigation and inter-compartment, intra-compartment management ensuring healthy ship operations and safe return to port over conditions of health crises.