Imagine a giant digital library that stores health and lifestyle data from children across Europe to spot obesity risks early. It uses this information to create smart apps that give personalized health tips to kids and parents. The goal is to stop healthy children from becoming unhealthy by changing their habits through technology.
Childhood obesity is reaching epidemic levels in the EU, but current research lacks standardized data and meta-reviews. This makes it difficult for health providers to create effective, personalized prevention strategies.
A cloud-based obesity biobank and platform featuring AI-based apps for risk assessment and lifestyle recommendations, validated through 12 pilots.
If you are a health app developer dealing with a lack of validated clinical data for pediatric weight management — this project developed AI-based Apps and a recommendation system that provides evidence-based lifestyle alterations.
If you are a drug discovery firm dealing with the difficulty of finding specific biological markers for childhood obesity — this project developed a Biobank with biospecimens and epigenetic data to accelerate diagnostic research.
If you are a health insurance provider dealing with rising costs of non-communicable diseases in youth — this project developed a risk assessment tool and prevention guidelines to lower long-term healthcare spending.
Based on available project data, specific pricing or cost structures are not mentioned; however, the project aims to provide open access to realistic synthetic datasets.
The project is designed for scale, utilizing a cloud-based interoperable platform and testing across 12 multi-site pilots in different countries.
Based on available project data, specific licensing terms are not provided, but the project focuses on creating a scientific platform for research and diagnostic approaches.
The platform uses data harmonisation and standardisation principles to integrate real-world health data from retrospective and prospective sources.
The project period runs from 2023-05-01 to 2027-04-30, indicating a multi-year development and piloting phase.
The consortium is heavily weighted toward commercial application, with 18 industry partners (56% ratio) and 11 SMEs. This strong industrial presence, combined with 10 academic and research institutions across 15 countries, suggests a high focus on translating clinical data into marketable digital health tools.
Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece
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