"The aim of the project is to improve the first aid and medical emergency care education system by implementing innovative integrating learning activities including scenario-based learning, simulation medicine and competent psychological support (SBL/SM/PsS) for physicians, persons from the category ""First on the Scene"" and all accident participants.The specific objectives of the project are: to foster medical education system development by conducting the training session for teaching staff PCUs using scenario-based learning and simulation medicine; to increase expertise of medical teachers by conducting trainings on the features of competent psychological support for injured persons and persons who are present on an accident scene and for physicians and persons from ""First on the Scene"" category; to improve emergency care learning by design realistic learning scenarios using SBL methodology, SM which will describe the tactics of patient management on pre-hospital and hospital stages of the healthcare delivery for most frequent states requiring emergency care; to modernise the curriculum by implementing these scenarios, and conducting classes with physicians and ""First on Scene"" persons for each PCUs; to disseminate and sustain the developed innovative approach by creating a network of educational and training centers to first aid and emergency care using SBL, SM and psychological support; to evaluate the effectiveness of teaching emergency medical care and first aid with the use of SBL methodology, SM and competent psychological support in each PCUs."

EBRAINS is a collaborative European Research Infrastructure designed to advance and accelerate progress in neuroscience and brain health. This innovative infrastructure, a legacy of the Human Brain Project (HBP), is an ecosystem where researchers, clinicians and experts from various disciplines converge to explore and analyze brain complexity – from molecular and cellular levels to the functioning of the entire organ. Therefore, the project aims to create a new standard for brain atlases from the micro- to the macro-scale, link foundational multi-level data and connectomes in the healthy and pathological brain with atlases and models, create digital twins through modelling and simulation as well as unique, excellent, and preferred services for FAIR neuroscience data. The overarching goal of EBRAINS 2.0 is to foster a deeper understanding of brain structure and function with dedicated and mature software tools, to facilitate the development of more effective treatments, new drugs, diagnostics and preventive measures for neuro-psychiatric disorders. We expect that EBRAINS 2.0 catalyzes progress in the field of large-scale models running on HPC towards Exascale and leads to innovative solutions for neuro-inspired computing, and cognitive technologies such as neurorobotics and AI. Sophisticated digital modeling and data analytics capabilities will benefit communities beyond neuroscience, such as biomedicine. We will advance EBRAINS technology, platform services and the base infrastructure roadmap, educate and train a new community of users and developers from academia, industry and SMEs, and ensure knowledge transfer. EBRAINS 2.0 will become the neuroscience hub in the European infrastructure landscape, through building strong links with the European data spaces, EOSC and EuroHPC JU, centers of excellences and other initiatives. Globally, EBRAINS 2.0 will make a strong contribution to the new era of digital neuroscience and foster European leadership in this field.

BACKGROUND: Adolescents are at particularly high risk for digital technology overuse, including in response to the COVID pandemic, and are therefore vulnerable for its potential harmful effects on mental health. Problematic usage of the internet (PUI) is thought to represent a marker of disrupted self-management, with major consequences for individual and societal health and wellbeing. AIM: Bootstrap brings together a multidisciplinary consortium aiming to initiate health and social policy and practice change designed to reduce the harmful effects of digitalization on mental health, particularly for young people. APPROACH: We will co-create a digital screening and assessment platform to understand which individuals are at-risk for developing PUI. Algorithm-based models will be used to predict which individual will benefit from which type of self-management intervention, and these preventative behavioral interventions will be tested for their (cost)effectiveness. Finally, we will develop a policy toolkit in co-design with stakeholders, to promote human digital rights accountability at the local, national, and European level. IMPACT: Bootstrap will provide unprecedented scientific knowledge on the psychological mechanisms underlying (risk for) PUI and potential interventions. Improved self-management and tools to optimize healthy internet usage will promote mental health and prevent mental ill health in adolescents, and contribute to reducing stigma. In addition, our policy toolkit will empower policy makers and private companies to (self)regulate with the intent to protect vulnerable groups. In the long run, Bootstrap will thus contribute to improving mental wellbeing across Europe and beyond.

Background: Chronic inflammatory diseases (CID) are a group of non-communicable disorders of the immune system with a lifetime prevalence of over 10% in the EU. Rheumatoid arthritis (RA) and inflammatory bowel diseases (IBD) are two archetypal CIDs with a particularly high unmet medical need and impact on European health care systems. Objectives: The PerPrev-CID consortium aims to set up new standards for decision support tool development for preventive and early therapeutic interventions in RA and IBD. Selected main aims are: (i) To define actionable predictors from longitudinal multi-level Omics and clinical data integration In RA and IBD. We will identify markers indicating progression from pre-symptomatic to manifest disease and signatures predicting early disease relapse (ii) To develop new tools for home-based and continuous assessment of patient-related data dimensions using digital health apps/wearables, including more innovative, objective parameters, such as movement patterns, physical activity, and sleep. (iii) To assess the health-promoting effects of interfering with the tryptophan pathway in a proof-of-concept nutritional study in early RA and IBD. (iv) To study ethical, legal and economic consequences of risk assessment and early low-threshold preventive interventions. Important aspects are the communication of the risk concept, economic implications of broad testing and interventions as well as patients´ perception of the concept of risk prediction. Expected impact: We will develop prototype solutions for privacy-preserving AI-based data analysis for research and clinical application and will test a first proof-of-concept low threshold intervention in RA and IBD. Our approaches will provide a clear health benefit to the citizens of the EU by improving health outcomes, empowering joint decision making and contributing to appropriate action plans to reduce the avoidable burden of the diseases.