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 |
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FLOX LIMITED | £390,256 | £ 273,179 |
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Participant |
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INNOVATE UK |
People |
ORCID iD |
Imtiaz Shams (Project Manager) |