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  3. Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative.
 

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative.

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BORIS DOI
10.48620/96078
Publisher DOI
10.1111/obr.70083
PubMed ID
41725143
Description
The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101080117) dedicated to advancing our understanding of the multifaceted etiology of obesity. The project aims to move beyond current knowledge of obesity-related determinants by examining the system-level interactions between biological (including genetics), lifestyle behaviors (physical activity, nutrition, sedentary behaviors), and contextual factors, including social, economic, psychological, and environmental factors. BETTER4U advances from traditional approaches by exploring determinants embedded within interconnected systems and biological frameworks. It seeks to identify and integrate polygenic risks, omics-based markers, lifestyle and contextual factors using data from biobanks and previous landmark studies. This comprehensive approach enables the refinement of Artificial Intelligence (AI) algorithms, enhancing individualization in the design of tailored interventions. The project employs real-time behavioral monitoring tools and remote technologies to track individual behaviors and metabolic responses, allowing for the development of personalized obesity prevention strategies. By doing so, BETTER4U aims to bridge the gap between research and practical application, enabling the design of interventions that are biologically and behaviorally informed. The anticipated outcomes of BETTER4U include advanced AI models that support the development of sophisticated, targeted interventions for individuals at risk of overweight or obesity. These models will provide actionable insights into how personalized lifestyle adjustments in lifestyle behaviors, such as diet and physical activity, can effectively mitigate weight gain trajectories across the lifespan. Ultimately, the project seeks to empower individuals and support precision medicine approaches in obesity prevention and treatment through active participant engagement.
Date of Publication
2026-03
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
artificial intelligence
•
obesity
•
personalized lifestyle intervention
•
weight gain
Language(s)
en
Contributor(s)
Kafyra, Maria
Kalafati, Ioanna Panagiota
Bruins, Susanne
Episkopou, Chrysa
Gryspeerdt, Delfien
Heggie, Lisa
Kaltenbrunner, Saskia
Kampshoff, Stephan
Karaglani, Eva
Prändl, Hande Özkayagan
Papathanail, Ioannis
ARTORG Center - Artificial Intelligence in Health and Nutrition
ARTORG Center for Biomedical Engineering Research
Symianakis, Panagiotis G
Silchenko, Darya
Vavouraki, Vasiliki
Boomsma, Dorret
Delopoulos, Anastasios
Diou, Christos
Eriksson, Anders
Kaprio, Jaakko
Krzywicka, Paulina
Luszczynska, Aleksandra
Manios, Yannis
Marouli, Eirini
Moulos, Panagiotis
Mougiakakou, Stavroula
ARTORG Center for Biomedical Engineering Research
ARTORG Center - Artificial Intelligence in Health and Nutrition
Pool, René
Silventoinen, Karri
Verhaege, Nick
Willems, Ruben
Dedoussis, George V
Additional Credits
ARTORG Center for Biomedical Engineering Research
ARTORG Center - Artificial Intelligence in Health and Nutrition
Series
Obesity Reviews
Publisher
Wiley
ISSN
1467-789X
1467-7881
Access(Rights)
open.access
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