How can the FSA improve the evidence base concerning Antimicrobial Resistance (AMR) and food?
Background
The food system does not stand in isolation from global challenges such as climate change, plastic pollution and antimicrobial resistance (AMR). We are also facing major health challenges, including an obesity crisis, due to poor diet and nutrition.
We need to understand how these impact on the food system, either directly or as the result of mitigations/solutions being introduced and the role our science can play to help address these major threats. As an evidence provider, we will support cross-government initiatives, such as the UK AMR National Action Plan and Net Zero Strategy.
Next steps
Please contact the FSA Science Strategy, Research and Capability Unit at ari@food.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
-
FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining
Understanding the risk and direction of antimicrobial resistance (AMR) spread through food-borne routes, and developing of interventions to limit the spread of AMR within and between humans, animals, environment and food...
Funded by: MRC
Why might this be relevant?
This project specifically focuses on understanding and monitoring AMR spread through food-borne routes using AI and big data mining, aligning with the question's objective.
-
Citizen Science and Antimicrobial Resistance
Our team brings together citizen science expertise (PI West) with expertise in antimicrobial resistance (CoIs Swift, Ray) and food systems (CoI Whatford), with national and local food growing organisations (Garden Organi...
Funded by: BBSRC
Why might this be relevant?
The project focuses on improving the evidence base concerning Antimicrobial Resistance (AMR) in the food system through a citizen science approach.
-
Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining
Understanding of the risk and direction of antimicrobial resistance (AMR) spread through food-borne routes, and development of interventions to limit the spread of AMR within and between humans, animals, environment and ...
Funded by: Innovate UK
Why might this be relevant?
The project focuses on using AI to detect AMR spread in the interconnected human-animal-environment-food system, aligning with the goal of improving the evidence base concerning AMR and food.