Title: Multi-Pillar Framework for children Anti-Obesity Behavior building on an EU biobank, Micro Moments and Mobile Recommendation Systems

Programme: Horizon Europe

Call: Prevention of obesity throughout the life course

Topic ID: HORIZON-HLTH-2024-STAYHLTH-01-05-two-stage

Grant agreement No: 101080718

Brief description

During the last decades, overweight & obesity rates have reached epidemic proportions across EU. Prevalence in childhood is particularly alarming, resulting in psychological impacts & increased risks for NCDs. However, although obesity-related research has provided interesting results, several issues arise due to the lack of meta-reviews & the nature of data collected.

To address this, Bio-Streams aims on supporting the optimal use (and re-use) of health data (e.g. biological, demographic, epigenetic, etc.) to generate metadata/knowledge and provide new evidences, methodologies & tools for: a) creating and deploying the Bio-Streams Biobank that will act as a scientific platform for research in obesity and better diagnostic and therapeutic approaches;b) understanding the transition from metabolically healthy to unhealthy, preventing under age obesity; c) designing better strategies to educate & empower young citizens for weight self-management; d) coordinating authorities & policy makers to develop cross-sectoral solutions for health promotion & under age obesity prevention.

Specifically, Bio-Streams delivers a dedicated under age obesity biobank providing real-world health data (including biospecimens, anthropometrics, behavioural and cost data) from retrospective and prospective sources, while taking into account efficient data harmonisation and standardisation principles, transforming data valorisation towards under age obesity prevention and future research.

Moreover, the Bio-Streams framework for data handling, provides robust and transparent methodologies for operational procedures (data infrastructures), analysis and reporting (via meta-reviews and AI-based Apps/components, evaluated via 12 multi-site pilots (7 clinical and 5 schools)), citizen awareness and lifestyle alteration, delivering obesity prevention guidelines, knowledge generation while fostering considerable opportunities for regional and national health authorities/policymakers.

Our role

In BIO-STREAMS we will participate in the development and evaluation of the ML-based tools for obesity risk assessment, recommendation of personalised pathways and generation of realistic data to facilitate knowledge interpretation and analysis for decision support. We are responsible for semantically relating different resources, investigate and map data and services, merge ontologies by expressing semantic information and conduct queries to match specific requirements and express constraints to additional relationships created.


May 2023 – Ongoing

Domain areas
  • Nutrition
  • Dietetics
  • Childhood obesity
  • Synthetic data clinical pilots