Project description
A new method to monitor the diet–NCD link
Unhealthy diets are associated with metabolic changes and increased risk of non-communicable diseases (NCDs). However, little is known about the dietary mechanisms that actually drive NCDs, and the tools used to collect dietary information are still inaccurate. There is also a lack of data among vulnerable groups, where NCDs are often over-represented. The EU-funded CoDiet project will address the knowledge gaps and develop a tool that will assess diet-induced NCD risk. Specifically, it will develop an enhanced method of dietary assessment using AI technologies. It will also develop a diet–NCD monitoring tool that will enable change in NCDs in response to diet to be monitored at the population level. The overall goal is to promote the uptake of an NCD-protective diet at a population level.
Objective
Our current understanding of the relationship between diet and the development of non-communicable disease (NCD) is limited by a number of factors. These include a lack of understanding of dietary mechanisms that drive NCD, inaccurate tools to collect dietary information, a nascent understanding of the role of personalised nutrition, and the lack of data in vulnerable groups where NCDs are often over-represented. The overarching aim of CoDiet is to develop a series of tools (through eight work packages) which will address the current gaps in our knowledge and lead to the development of a tool that will assess dietary-induced NCD risk.
We will achieve this through the six objectives which will answer the challenges of the work programme
1: Development of AI-driven literature searching tools - bring clear understanding of large global literature in the field of physiological and metabolic links between diet and NCD
2: Enhance the understanding of NCD risk factors - we will bring a series of beyond the state of the technics to gain mechanistic insight
3: Understanding of the importance individual variation in response to diet to risk of NCD - this will give insight into the targeting of dietary NCD advice
4: Develop an enhanced method of dietary assessment using machine learning technologies - solving a fundamental problem in nutrition of lack of an accurate dietary tool
5: Develop an enhance diet-NCD monitoring tool - enabling change in NCD in response to diet to be monitored at the population level
6: Develop a dynamic interface between diet and NCD risk factor monitoring and policy - Ensuring CoDiet is applicable at a population level
The investigation of these objectives and the answers they provide will open a pathway to enhancing the uptake of NCD protective diet at a population level
Fields of science
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
48395 Sukarrieta
Spain
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Participants (15)
160 00 Praha
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R93 Carlow
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546 36 THESSALONIKI
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32000 Haifa
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48160 DERIO VIZCAYA
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46010 Valencia
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10561 Athina
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76275 Ettlingen
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48012 Bilbao
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1050 Elsene
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38122 Trento
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28029 Madrid
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00161 Roma
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10617 Tallinn
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76275 ETTLINGEN
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
SW7 2AZ LONDON
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
LE1 7RH Leicester
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
NG7 2RD Nottingham
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