Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining

Lead Participant: FLOX LIMITED

Abstract

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 food is a significant challenge, requiring a 360-degree investigation of a complex, interconnected system of humans, animals, environment on one hand and geographical, societal and climate-related variables on the other. **This project will develop a monitoring system using AI and advanced tech to detect AMR spread in the interconnected human-animal-environment-food system ('One Health').**

Lead Participant

Project Cost

Grant Offer

FLOX LIMITED £390,256 £ 273,179
 

Participant

INNOVATE UK

Publications

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