The percentage of people aged >60 is predicted to rise from 12% of the current population to 22% between 2015 and 2050. Rising life expectancy is associated with increased prevalence of chronic diseases like dementia. There were an estimated 46.8 million people worldwide living with dementia in 2015 and this number will almost double every 20 years. These increases have a marked impact on states’ health care systems; and families and caregivers. According to studies, it is estimated that two caregivers are needed to take care of one person with dementia. AD poses real challenges for both the person diagnosed with AD and to those who assume care giving responsibilities. This does not mean that there will no longer be times of joy, shared laughter, and companionship. AD often develops gradually, offering time to adjust to the diagnosis, plan ahead, and spend quality time together. Dementia is not a specific disease. It's an overall term that describes a wide range of symptoms associated with a decline in memory or other thinking skills severe enough to reduce a person's ability to perform everyday activities. Alzheimer's disease accounts for 60 to 80 percent of cases. Dem@entoring used an inclusive educational and training approach, addressing health, wellbeing and promotion of ICT activities to people with dementia and their formal and informal caregivers in order to understand their disease and to efficiently cope with the dementia symptoms, raise awareness, improve understanding and decrease the fear of stigmatization. By implementing this training in different EU countries (GR, PL, DK, SE, IT), we had the chance to respond to the growing numbers of people with dementia by upskilling formal and informal caregivers who wish to gain a greater understanding of the disease.Objectives:The project created an online system with innovative integrated models allowing the target audience to interact and learn. The e-Mentoring addressed all involved target groups. Integrated with a pilot testing, dissemination events and actions, the project ended up with a learning activity (May 2021) to promote uptake of the models and system, thus, reach the needs addressing.Participants:People with dementia, formal and informal caregivers, NGOs, social enterprises, key stakeholders, health care professionals and educational providers were targeted by the Dem@entoring project and we estimated that during the project’s lifecycle, approximately 20,000 persons and organizations have been reached. This through a comprehensive strategy using diverse channels to reach all levels involved.Activities:Diverse activities were envisaged ranging from the initial needs analysis, the design and development of the e-mentoring model, the Dem@entoring platform and eMMentoring ecosystem and the underlining training approach (inclusive education, interactivity, decision based) while in parallel integrating higher level interaction and input. A key element is the dissemination strategy where the plan developed has dictated partner activities and actions. Three multiplier events, seminars, webinars and one learning activity have been organized as part of the effort to involve target group members, with specific channels and methods for their selection and promotion.Methodology:A clear project methodology with tasks, activities, time plan and milestones was designed allowing for: a. implementation of tasks according to plan and quality criteria, b. target group involvement and input, c. promotion and raising awareness, d. an underlying inclusive approach traceable to all activities, e. reporting and meetings to discuss, f. sustainability actions and transferability possibilities of results.Impact / Results:As long term impact, it is expected to: a. decrease social exclusion numbers among people with dementia in society, b. increase uptake of ICT activities and an improved healthier lifestyle, c. increased interactions with diverse groups within one’s environment thus, promoting equal opportunities, wellbeing, democratic value, proactive approach, active participation, d. practical examples to stakeholders and educational providers on applying EU policies and priorities, and many more. The main results, namely the Dem@entoring platform and eMentoring ecosystem and the mentoring model can further be transferred to other target audiences i.e. immigrant care givers, social workers etc. Achieving this ultimate vision requires leadership and commitment at many levels, from classrooms to political representatives. The goal and challenge of is to allow cross-sector cooperation and change that can have a significant and sustainable impact on national and EU priorities.

The burden of cancer is rising globally and is estimated to have reached 18.1 million new cases and 9.6 million cancer deaths in 2018. Despite the rising cancer incidence, improvements in early detection and therapeutic treatment have improved cancer survival. As a consequence, the number of cancer survivors is increasing globally, creating the need to improve not only treatment but also wellness and follow‐up care. Cancer treatment often involves combined modalities such as surgery, chemotherapy, and radiotherapy. In the past decades, more effective and targeted therapeutic modalities and less destructive cancer treatments have been developed such as immunotherapy and drug‐targeted therapy. Even so, cancer and its treatment have important physical and psychosocial sequelae. ONCORELIEF is a 36-month action that will leverage the above 6 drivers in order to skillfully and methodologically overcome technical challenges, by introducing new approaches that will allow the utilization of big datasets in order to develop a user-centered AI System to facilitate the integration of QoL assessment instruments through the use of PROMs and PREMs in order to improve post-treatment health status, increase the wellbeing, and follow‐up care of cancer patients. This will be achieved through an intuitive smart digital assistant (Guardian Angel), able to provide personalized support in post-treatment activities and tasks, suggest actions regarding the patients' overall health-status, improved wellbeing and active health-care and ultimately maintain him/her engaged on a wellness journey that will safeguard his/her health over the foreseeable prolonged post-cancer treatment period. To achieve this, ONCORELIEF builds on the combined knowhow of its interdisciplinary industry-driven consortium that brings together state-of-the-art technological skills, design thinking methodology and occupational psychology/health sciences.

INSPIRE aims to be Europe's sustainable centre of excellence, globally renowned for the quality of its research and analysis produced on inclusive gender equality in research and innovation. It brings together cutting-edge knowledge, ambitious policy approaches, and innovative practices to provide a gateway for scholars, equality experts, practitioners and trainers to connect and share resources, co-create new ones, and link strategically with public and private institutions to benefit the European Research Area. INSPIRE's ambitious research programme develops new, relevant indicators for inclusive GEP development, conducts a GEP monitoring survey throughout Europe whilst identifies key configurations of GEP success and failure. It will fill key knowledge gaps as a result of case studies on intersectional policies, whilst identifying promising practices in gendered regional innovation policy. INSPIRE strengthens the evidence base for informed policymaking and meaningfully engages decision-makers in policy and R&I funding for shaping the future. INSPIRE counts on 4 Knowledge & Support Hubs (KSHs) led by leading academics and renowned practitioners throughout Europe to develop cutting edge knowledge on sustaining change, widening participation, intersectionality and fostering innovation and change in the private sector. These KSHs will provide support to 12 communities of practice (involving more than 95 institutions) to facilitate GEP implementation and foster mutual support for the co-development of innovative practices, customised training, and pan-European data collection. INSPIRE will reduce disparities across Member States and strengthen the ERA through its distributed approach, spreading knowledge, know-how and new opportunities for more open and inclusive research and innovation across Europe.

The increasing amount and availability of collected data (cancer imaging) and the development of novel technological tools based on Artificial Intelligence (AI) and Machine Learning (ML), provide unprecedented opportunities for better cancer detection and classification, image optimization, radiation reduction, and clinical workflow enhancement. The INCISIVE project aims to address three major open challenges in order to explore the full potential of AI solutions in cancer imaging: (1) AI challenges unique to medical imaging, (2) Image labelling and annotation and (3) Data availability and sharing. In order to do that INCISIVE plans to develop and validate: (1) an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, (2) an automated-ML based annotation mechanism to rapidly produce training data for machine learning research and (3) a pan-European repository federated repository of medical images, that will enable the secure donation and sharing of data in compliance with ethical, legal and privacy demands, increasing accessibility to datasets and enabling experimentation of AI-based solutions. The INCISIVE models and analytics will utilize various cancer imaging scans, biological data and EHRs, and will be trained with 1 PB of available data provided by 8 partners within the project. INCISIVE solution will be investigated in four validation studies for Breast, Prostate, Colorectal and Lung Cancer, taking place in 8 pilot sites, from 5 countries (Cyprus, Greece, Italy, Serbia and Spain), with participation of at least 2,600 patients and a total duration of 1.5 year. INCISIVE moves beyond the state of the art, by improving sensitivity and specificity of lower cost scanning methods, accurately predicting the tumor spread, evolution and relapse, enhancing interpretability of results and “democratizing” imaging data.

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders. The STAMINA toolset enables national planners and first responders to anticipate and respond to the the “known-unknowns” in their daily effort to enhance health security. Main functionality of the toolset includes: • Real-time web and social media analytics aiming at public trust monitoring and flagging possible disease outbreaks • POCT and smart wearable diagnostic devices for first line screening • Predictive modeling of pandemic outbreak and its impact, along with decision-making support in implementing mitigation strategies, • Early Warning System • Crisis management tool defining the roles and actions of key actors during crisis management • Scenario Generation tool for creation of training scenarios • Common Operational Picture as the main interface of the solution enabling timely and coordinated response The toolset is accompanied by a set of Guidelines on effective implementation of risk communication principles and best practices in cross-organisational preparedness and response plans. The use of the STAMINA toolset will be demonstrated through 12 national and regional small-scale demonstrators and one large-scale cross-border simulation exercise involving all consortium partners.