<?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/1F83948A-4701-4D5E-B35D-3B81E95941D9" ns1:id="1F83948A-4701-4D5E-B35D-3B81E95941D9"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/3CD8A905-FEDC-45A8-822F-68FB47EFC845" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6B57D64D-182B-4847-8A8F-366E0669D013" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6B57D64D-182B-4847-8A8F-366E0669D013" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/F68A9D90-CCC1-4426-A3E3-D01FD34AAA6C" ns1:rel="FUND" ns1:start="2022-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10003559</ns2:identifier></ns2:identifiers><ns2:title>The University of Nottingham and Isogenica 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 an innovative, proprietary bioinformatics tool, based on sophisticated machine learning principles, to identify high quality antibodies for human therapeutics applications more efficiently.</ns2:abstractText></ns2:project>