AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE

CORDIS · observation · Publication date unknown

g 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 Diet, Risk Factors, Machine Learning, Personnel Nutrition

Read original source ↗ Open in workspace

recordType
award
status
SIGNED
region
EU
value
7330589.25
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.