<?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/CF325D2F-4F76-4ADC-944E-206B1E22B40E" ns1:id="CF325D2F-4F76-4ADC-944E-206B1E22B40E"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/979460BC-8C1E-40B9-A594-8205BED9B896" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A582A3F3-3912-4FCA-B599-3E1E8432BFC7" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A582A3F3-3912-4FCA-B599-3E1E8432BFC7" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/7BD664EA-3EDC-4E58-8966-F0E0569E04C7" ns1:rel="FUND" ns1:start="2026-01-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10160109</ns2:identifier></ns2:identifiers><ns2:title>University of Glasgow and Quanta Dialysis Technologies Limited KTP 25_26 R1</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop a suite of mathematical models that will allow the optimisation of innovative flow patterns developed within artificial kidneys known as 'dialysers' and significantly speed time to market. Novel flow patterns will enhance the efficiency of dialysers to remove larger molecules with reduced machine complexity thereby improving patient outcomes.</ns2:abstractText></ns2:project>