<?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/887722DA-2C95-4815-AD71-551187CD59F2" ns1:id="887722DA-2C95-4815-AD71-551187CD59F2"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/CAE14916-7F81-4135-B64F-8F5449DC126F" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AB74CD93-1466-4497-93FB-1EE707768B02" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/76D6A85D-AA5D-4601-8C6D-7C6C5A2DC8BF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AB74CD93-1466-4497-93FB-1EE707768B02" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-02-02T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B7DB421D-44DE-408D-86CC-A527850DFA81" ns1:rel="FUND" ns1:start="2023-02-02T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10029402</ns2:identifier></ns2:identifiers><ns2:title>Queen Mary University of London and Closed Loop Medicine KTP 21-22 R5</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To exploit novel data analytic approaches to reduce premature death and disability from hypertension. The analysis of data from a customised App and system will safely enable the progressive introduction of automated clinical decision-making, for the precise control of drug dosing.</ns2:abstractText></ns2:project>