<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/CEAED84F-E97B-4ABD-8E08-BD43FB26E867" ns1:id="CEAED84F-E97B-4ABD-8E08-BD43FB26E867"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/710E25C4-E160-4656-982D-802119F0656A" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/467DB7C2-1B7A-4854-8B5A-F0412A6EE0FD" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/467DB7C2-1B7A-4854-8B5A-F0412A6EE0FD" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2028-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/FB0DD9DC-2FEB-43C8-B1EC-F91C5742E586" ns1:rel="FUND" ns1:start="2024-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10108424</ns2:identifier></ns2:identifiers><ns2:title>Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>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').**</ns2:abstractText></ns2:project>