GALATEA

diGitAL twin frAmework for TailorEd infAnt nutrition

Project Partners
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participating countries​
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work packages​
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PROJECT RESEARCH OBJECTIVES

Elucidating Human Milk Composition and its Impact on Biological Pathways

To elucidate the composition of human milk and investigate its impact on key biological pathways for infant health and development and to contribute valuable insights that bridge the gap in our understanding of how human milk composition contributes to optimal infant growth, neurodevelopment, and overall well-being.

Development of an Innovative Infant Nutrition Design Platform

To develop an innovative infant nutrition platform for designing nutrition strategies to individual infant needs, exploiting the knowledge provided by the consortium and project activities. The project focuses on preterm infants, those with congenital heart defects, mothers unable to produce breast milk, and new-borns facing cardiological challenges. GALATEA aims to impact on the nutritional care and overall well-being of infants and parents facing diverse health circumstances.

Transfer of Knowledge and Multidisciplinary Integration of Competencies

This objective focuses on establishing the effective exchange of knowledge and integration of multidisciplinary competences among the project team members.

WORK PACKAGES

Project Management

Overall management of the project to guarantee the effective progress towards objectives. This WP will also coordinate all the communication, dissemination and exploitation activities.

Ethical Issues

This WP will assess the proper strategy for Data management and privacy, evaluate the relevant EU ethical framework connected to research study, and monitoring gender dimension

Real World Database

Collect data regarding milk composition and chemistry, retrospective and prospective clinical data, chemical analysis and proteomics of milk

Computational Modelling

Modelling molecular mechanisms and dynamics, biochemical pathways; machine learning for data analysis and rationalisation

ICT Infrastructure

Developing the back- and frontend of the final intelligent platform able to ratiionalise and define the optimal and patient-specific human milk compostion

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