DigiCare4You aims to improve the early prevention and management of Type 2 Diabetes (T2D) and hypertension (HTN) via a community-based, person-centred solution, integrating both social and healthcare systems, supported by the use of digital tools. The project will also assess the scalability and transferability of this innovative, intersectoral solution.

The MindLink project aims to develop an innovative solution for telemonitoring, combining the analysis of cognitive performance with the real-time evaluation of clinical and physiological parameters. By using an advanced data processing system, MindLink aims to identify potential interactions between different parameters, enhancing prevention, diagnosis, and therapy. The goal is to create an ecosystem for multi-parametric detection of clinical outcomes, gathering valuable data for research and providing healthcare professionals with real-time access through dedicated web portals and an interoperable system based on the HL7 protocol. The system consists of three main components:

• Bended.relab - Telemonitoring of cognitive and motor performance through immersive virtual reality
• Diawatch - Monitoring clinical parameters such as blood glucose, oxygen saturation, heart rate, blood pressure, and more
• MindLink Data Processing System - An innovative system to identify correlations between clinical parameters and cognitive performance

The objective of the Data For Care project is to improve life quality of chronic patients and optimise health and care resources by designing, developping and testing a radically new technological solution to have the citizens in the centre of the system. The DATA for GOOD foundation will present ‘DATA for CARE’, a platform that aspires to revolutionise the traditional way of generating, storing and accessing personal data within the health care sector. DATA for CARE is built on the DATA for GOOD platform.
This platform includes Partisia Blockchain technology based audit log, storage of the PDS, integration layer for data and consent to be used by service providers along with the Virtual data lake which can be seen as the integration layer for secondary analysis. The platform of course also contains the confidential computing engine, doing the MPC based calculations, ensuring that data is never brought into one data silo without it being completely encrypted and secured.
DATA for CARE aspires to be the solution for an integrated self-management model that will improve chronic patient’s wellbeing based on individual data control. In other words, with this solution it will become possible for patients to share their health data between different health and care providers.

Our consortium presents a digital solution for continuous management and integrated care of CHF (the CORRAL system) covering early detection and secondary prevention, care and follow-up, and for supporting living with CHF at home.
The CORRAL integrated care platform will allow for monitoring of environmental, physical and psychological patient-related variables, and continuous analysis of recorded data and care team inputs by an artificial intelligence system for the provision of decision support to the multidisciplinary care team (MDT) and the provision of personalized support and education interventions allowing patients to self-manage CHF.
Large-scale implementation of the CORRAL solution will allow for improved CFH management, increased participation of patients in their own care, reduction of hospitalization and severe incidents and decreased burden for caregivers.
Furthermore, for procurers, it will lead to savings of cost and time, allow for better care planning through the provided CHF predictive models and facilitate high quality integration with their existing ICT systems and digital health records (DHRs). The pilot countries involved in the project are: SWEDEN, TURKEY, ITALY (Campania region), PORTUGAL and GREECE.

DiaWatch exploits the potential of mobile and wearable technologies, as well as a virtual coach based on proprietary artificial intelligence (AI) and machine learning algorithms, to improve the shared management of diabetes and to empower patients to be more aware and adherent to recommendations and therapy.

The project opens the door to the personalisation of treatments for the prevention of noncommunicable diseases through nutrition.

The purpose of the Ensafe Project is to create an ICT system that is at once capable of supporting monitoring activities, enabling and facilitating prevention and early diagnosis practices, and of promoting the well-being and self-sufficiency of frail, elderly individuals.
“AAL Call for proposal 2014”

The Cometa Project is the result of Meteda’s partnership with the V. Buzzi Children’s Hospital, in Milan, and Empatica, the device’s manufacturer. The idea was born from the need to identify new strategies to prevent obesity, a condition that has been growing in the last decades and which affects childhood. The integrated system relies upon motivational incentives to improve the user’s eating habits and promote physical activity.

The Helicopter project relies upon AAL (ambient-assisted-living) technology to support, motivate, and guide elderly people (+65) in pursuing a healthy and safe lifestyle. The system analyzes users’ health by simple and discreet monitoring of their daily activities with the use of the most advanced Ambient Intelligence approaches. “AAL European Program: Call 5- 2012” – “Daily Life Activities”

To slow down physical and cognitive decline due to aging, the ChefMySelf Project is committed to monitoring the elderly population’s eating habits and to motivating them to prepare their own meals. Through the development of an ecosystem of customizable, open and extensible services (ICT), hinging upon an automatic cooking device, the elderly can receive the support they need to prepare meals and maintain healthy eating habits. “AAL European Project: : Call 5 – 2012” – “Daily Life Activities”

The Aalisabeth Project aims at addressing items related to prevention and management of some of the most common medical conditions affecting the elderly. The primary goal is to develop an innovative strategy that relies upon ambient intelligence to streamline health monitoring procedures and promote the adoption of healthier lifestyles. Realized in partnership with INRCA and Regione Marche.