<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/42F07D61-F2FF-4687-A8DB-813D0FCCF1C2" ns1:id="42F07D61-F2FF-4687-A8DB-813D0FCCF1C2"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F2EA7580-5A83-4433-8710-5E8B4936EE5A" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F2EA7580-5A83-4433-8710-5E8B4936EE5A" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2016-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/5667718F-BAC2-410E-B3DD-4250F95506E2" ns1:rel="FUND" ns1:start="2015-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">509196</ns2:identifier></ns2:identifiers><ns2:title>Queen's University Belfast and Aridhia Inofrmatics Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To use machine learning techniques, develop and validate risk stratification models to support improved outcomes for patients with diabetes and expand the technical capability in advanced analytics.</ns2:abstractText></ns2:project>