If you are an mHealth app developer dealing with low user retention in wellness apps — this project developed a Healthy Lifestyle Recommender Solution (HLRS) that uses gamification and digital nudges to keep users engaged. This can help prevent 10,000 obesity cases per year with 200,000 users.
AI-Driven Personalized Obesity Prevention Platform for Vulnerable Age Groups
Imagine a digital health coach that doesn't just give generic advice, but creates a custom plan based on your biology and habits. It's like having a GPS for a healthy life that adjusts in real-time for kids, young adults, and seniors. The goal is to stop weight gain before it becomes a chronic disease by making healthy choices feel like a game.
What needed solving
Current obesity interventions fail because they are generic and ignore personal context, emotional factors, and user motivation. This leads to marginal impact and wasted investment in public health initiatives.
What was built
A Healthy Lifestyle Recommender Solution (HLRS) and an IT infrastructure that integrates a human digital twin, gamification, and personalized dietary/activity nudges.
Who needs this
Who can put this to work
If you are a health insurer dealing with the high cost of obesity-related comorbidities — this project developed a human digital twin and personalized intervention portfolios. This allows for targeted prevention in vulnerable groups like the elderly (≥65 years) to reduce long-term claims.
If you are a food company dealing with the need for evidence-based dietary guidelines — this project developed a content analysis frame for European food-based guidelines. This helps in creating products that align with the personalized dietary recommendations of the HLRS.
Quick answers
What is the cost or pricing for the HLRS platform?
Based on available project data, no specific pricing or cost structure for the final solution has been disclosed.
Can this be scaled to a large user base?
Yes, the project estimates a mid-term impact based on a scale of 200,000 users to prevent 10,000 obesity cases annually.
What are the IP and licensing options for the Human Digital Twin technology?
Based on available project data, specific licensing terms are not mentioned, but the project aims for multilevel uptake by EU institutions and entities.
How does the system integrate with existing health data?
The project has created an IT infrastructure to serve as the foundation for integrating the HLRS tools and a human digital twin.
What is the timeline for the rollout of the intervention strategies?
The project runs from May 1, 2023, to April 30, 2028, involving iterative pilots and long-term randomized control trials.
Who built it
The consortium is highly diversified with 25 partners across 9 countries. It features a balanced mix of 7 universities, 7 research institutes, and 11 industry/other entities (including 8 SMEs). With a 16% industry ratio, the project is heavily research-driven but maintains a strong link to commercial application through SME involvement.
Contact the Luxembourg Institute of Health
Talk to the team behind this work.
Contact us to explore licensing the HLRS infrastructure or participating in the long-term trials.