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eprObes · Project

AI-Driven Early Detection and Personalized Prevention of Lifetime Obesity

healthPrototypeTRL 3

Think of obesity like a house with a shaky foundation built long before the walls go up. This work looks at the 'foundation' years—from before birth through the teenage years—to find the exact triggers that lead to weight gain. By using AI and biological markers, it aims to create a personalized manual for preventing obesity before it even starts.

By the numbers
22
consortium partners
9
countries involved
9
interactive work-packages
The business problem

What needed solving

Adult obesity treatments often fail because they ignore the biological and psychological triggers that happen before birth and during childhood. There is a lack of personalized, gender-specific tools to stop obesity before it becomes a lifelong metabolic disease.

The solution

What was built

The project is developing a system of multi-omics biomarkers and AI-driven analysis tools to identify obesity risk from the prenatal period to puberty.

Audience

Who needs this

Pediatric clinic networksPrecision nutrition companiesMetabolic disease pharmaceutical firmsPublic health insurance providers
Business applications

Who can put this to work

Healthcare Diagnostics
mid-size
Target: Medical testing laboratory

If you are a medical testing laboratory dealing with a lack of early screening tools for metabolic risk—this project developed multi-omics biomarkers that allow for the identification of obesity risk during prenatal and pubertal windows.

Digital Health
SME
Target: Personalized nutrition app developer

If you are an app developer dealing with generic diet plans that fail users—this project developed AI-assisted analysis of feeding behaviors and gender-based determinants that enable tailored lifestyle interventions.

Pharmaceuticals
enterprise
Target: Drug discovery firm

If you are a drug discovery firm dealing with low efficacy in adult obesity treatments—this project developed mechanistic analyses of blood-brain barrier permeability and epigenetic markers to identify new therapeutic targets.

Frequently asked

Quick answers

What is the cost or price of the resulting tools?

Based on available project data, specific pricing or cost structures for the interventions and biomarkers have not been disclosed.

Can these findings be scaled to an industrial level?

The project involves 4 industry partners and uses AI and bioinformatic technologies, which suggests a path toward scalable digital health tools, though specific industrial scaling plans are not detailed.

What is the IP or licensing status of the biomarkers?

Based on available project data, the current status of patents or licensing agreements for the identified biomarkers is not provided.

How does this integrate with existing clinical workflows?

The project is patient-centered and involves clinical studies across different maturational windows, suggesting integration into prenatal and pediatric care pathways.

What is the timeline for market availability?

The project period runs from 2023-05-01 to 2028-04-30, indicating that final results and potential commercial tools will emerge toward 2028.

Consortium

Who built it

The consortium is heavily research-oriented with 9 research organizations and 6 universities, but it maintains a significant commercial bridge with 4 industry partners (18% industry ratio). With 22 partners across 9 countries, the project has a strong European footprint, combining deep academic expertise in psychiatry and obesity with the practical implementation capacity of SMEs and larger firms.

How to reach the team

Contact the Consorcio Centro de Investigacion Biomedica en Red M.P. in Spain

Next steps

Talk to the team behind this work.

Contact us to track the development of these obesity biomarkers for your product pipeline.

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