Summary
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
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
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101084642 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2026 |
| Total budget - Public funding: | 7 330 589,25 Euro - 7 330 589,00 Euro |
Cordis data
Original description
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
Status
SIGNEDCall topic
HORIZON-CL6-2022-FARM2FORK-01-10Update Date
09-02-2023
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Search
Organisations
-
| FUNDACION AZTI - AZTI FUNDAZIOA (Coördinator)
-
| ARISTOTELIO PANEPISTIMIO THESSALONIKIS
-
| ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
-
| BRUKER BIOSPIN GMBH
-
| BRUKER BIOSPIN GMBH & CO KG
-
| CESKE VYSOKE UCENI TECHNICKE V PRAZE
-
| CONSORCIO CENTRO DE INVESTIGACION BIOMEDICA EN RED M.P. (CIBER)
-
| ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
-
| IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
-
| ISTITUTO SUPERIORE DI SANITA
-
| Institute for Advanced Manufacturing - University of Nottingham
-
| MICROCAYA, S.L.
-
| SCIENSANO
-
| TEAGASC - AGRICULTURE AND FOOD DEVELOPMENT AUTHORITY
-
| TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY.