<?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="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/99738902-B51E-4993-AE09-ADD225925A9F" ns1:id="99738902-B51E-4993-AE09-ADD225925A9F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FAABF2EB-AEB2-4A67-A79E-39B8F8121932" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FAABF2EB-AEB2-4A67-A79E-39B8F8121932" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/57C118EA-5853-4377-AF04-FCACE1331D8E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/85A4082A-FEFD-4DDD-B7A5-765A04DABEEE" ns1:rel="FUND" ns1:start="2019-04-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511496</ns2:identifier></ns2:identifiers><ns2:title>University of Sheffield and Zilico Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To apply expertise in dynamic frequency analysis and machine learning to allow Electrical Impedance Spectroscopy to be applied to new clinical areas in diagnosing cervical cancer.</ns2:abstractText></ns2:project>