<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/483D9E6A-57F7-441D-A362-D35D32A1CB6F" ns1:id="483D9E6A-57F7-441D-A362-D35D32A1CB6F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/53C33BDB-1E84-43CE-8661-4DDEFC8F0299" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/8A88DE4F-FE06-4A65-B6AC-6CF5A2F185E8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/53C33BDB-1E84-43CE-8661-4DDEFC8F0299" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/479BD29C-A276-417F-960E-2DF51358EB98" ns1:rel="FUND" ns1:start="2018-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511286</ns2:identifier></ns2:identifiers><ns2:title>University of Bath and Mayden House Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop, validate and implement statistical models that predict patient engagement and the most effective treatment pathway for each patient, enabling services to deliver more effective and efficient care and identify when a patient is not responding as expected.</ns2:abstractText></ns2:project>