Study Description

COMFORTAGE is a joint effort of medical experts, social scientists and humanists, technical experts, Digital Innovation Hubs (DIHs) and Living Labs (LLs) to establish a pan European framework for Community-based, Integrated and People-Centric prevention, monitoring and progression managing solutions for dementia and frailty.

Through COMFORTAGE, care services providers will be empowered to create and implement personalized, integrated care measures against dementia and frailty, leading to significant improvements in individuals’ well-being and quality of life (QoL). The project also focuses on enhancing stakeholders’ health and digital literacy to reduce health inequalities and promote healthy aging in modern communities.

COMFORTAGE will be validated through thirteen pilot studies across eight EU member states. It combines medical/clinical innovations, cutting-edge AI technologies, DIHs, and social innovations to address various aspects of health and well-being. The project emphasizes the integration and management of different data sources, including biobanks, cohorts, medical records, and real-world data from sensors and wearables, in a standardized structure called Holistic Health Records (HHRs).

A Virtualized AI-Based Healthcare Platform (VHP) will be developed to centralize access to AI resources for risk analysis, early diagnosis, and personalized decision-making. This platform will facilitate collaboration among stakeholders and promote effective strategies for health promotion, disease prevention, and treatment, while minimizing digital literacy inequalities. The VHP will also serve as a key tool for the exploitation and sustainability of the project’s results. COMFORTAGE aims to establish an ecosystem of healthcare stakeholders and viable business models to ensure the project’s long-term impact and wider adoption.

Study Details

• Type: HORIZON-HLTH-2023-STAYHLTH-01
• Start: January 2024
• Duration: 4 years

Our role

Innovation Sprint is a technology provider within the COMFORTAGE project. Our focus lies on enhancing the functionality of Healthentia, our flagship product, with a specific emphasis on data collection, gamification, and virtual coaching. Our involvement includes various tasks across different work packages. In Work Package 4, we translate pilot requirements into precise secondary data collection and virtual coaching specifications. This involves adapting the Healthentia platform to accommodate the project’s secondary data collection needs, allowing for a deeper understanding of patients’ habits and connections, and offer content to the end-users regarding their progress towards healthier habits, through our coach companion. Furthermore, in Work Package 5, we concentrate on developing the gamification features of the Healthentia mobile app. This includes the creation of engaging elements to enhance user experience and encourage active participation. Moreover, we collaborate closely with other partners, to co-develop and host serious games designed to improve motor and cognitive skills. These games enhance the overall experience of the users and promote their skill development. Lastly, we actively contribute to the dissemination and exploitation efforts outlined in Work Package 8, ensuring that the outcomes of our work reach relevant stakeholders and are effectively utilized.

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CATEGORY: Artificial Intelligence, Big data, Clinical research, Real-World Data, Digital therapeutics SOURCE: Personalized Medicine Meets Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-031-32614-1_6

The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics

Kyriazakos S., Pnevmatikakis A., op den Akker H., Kostopoulou K. (2023), In: Cesario, A., D’Oria, M., Auffray, C., Scambia, G. (eds) Abstract Healthcare is among the pioneering industries in the velocity of generation of big data, from the time that Electronic Health Records, Internet-of-Things, and electronic medical devices have been introduced. Researchers around the world are curating large volumes of data and applying Artificial Intelligent (AI) algorithms that give meaning to medical conditions, as well as prediction of clinical outcomes. The clinical research domain, which has been a laggard in digital transformation, is running today at high speed, utilizing electronic solutions that enable capturing of Real-World Data (RWD) in decentralized virtual clinical studies that aim to shorten the life cycle of drug development and the associated costs. At the same time, the domain of Digital Therapeutics (DTx) has been recently established, with various electronic solutions that process RWD to provide digital interventions that improve health-related endpoints. In this chapter, we will review how clinical research and DTx domains have been accelerated by the existence of Big data and AI algorithms and we will describe smart services that are expected to further boost the healthcare industry. Keywords: Artificial Intelligence, Big data, Clinical research, Real-World Data, Digital therapeutics

More Publications

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