<?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/763DC714-795C-42ED-BCE6-99E9ACF62DC9" ns1:id="763DC714-795C-42ED-BCE6-99E9ACF62DC9"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/34CB8250-F65D-4091-83D5-5D9AD17EBE58" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BDAFFC96-E80F-40F8-9E97-ACAC6CBBE1E8" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BDAFFC96-E80F-40F8-9E97-ACAC6CBBE1E8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/F16177DE-5E05-4933-A606-7DD11364D94D" ns1:rel="FUND" ns1:start="2023-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10056645</ns2:identifier></ns2:identifiers><ns2:title>The University of Leeds and Johnson &amp;amp; Johnson Medical Limited KTP 22_23 R4</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop and apply new methodologies in demand planning, forecast accuracy and inventory management in the medical device supply sector, including the use of digital techniques such as Artificial Intelligence.</ns2:abstractText></ns2:project>