<?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/DBEDE1FC-5D21-4674-A552-75809EDD4555" ns1:id="DBEDE1FC-5D21-4674-A552-75809EDD4555"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/FBD0FE5A-CEE3-475A-A617-C6A29B13E961" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/75AF96FC-79E1-4E6A-B3A4-CB18D145C51C" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/2A9353C3-0E7D-42A1-BC4A-9EDECE8C1B42" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/B3D759FF-F1BF-4184-A582-944EA26ADDB7" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/75AF96FC-79E1-4E6A-B3A4-CB18D145C51C" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/04FF0345-DF50-4F5B-9A93-841D77F792C5" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A0DD031D-3063-4414-8BB1-1014254801F7" ns1:rel="FUND" ns1:start="2017-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">103950</ns2:identifier></ns2:identifiers><ns2:title>Development of a data-driven, patient-specific surgical workflow for more targeted treatment of localised knee osteoarthritis</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>ISCF</ns2:leadFunder><ns2:abstractText>The objective of this industrial research project is to develop a patient-specific workflow for more targeted treatment of osteochondral defects in the knee joint using robot-assisted navigation. The surgical workflow would interface with S&amp;amp;N's commercial orthopaedic robot “NAVIO” providing new opportunities for earlier &amp;amp; more precise intervention. This innovation is supported by the development of a Virtual Reality 3D Headset, Cloud communication &amp;amp; a patient rehabilitation app, which are collectively designed to assist with the refinement of surgical planning, execution, &amp;amp; data management. The project allows S&amp;amp;N to be more competitive in the global robotic orthopaedic surgical market valued at &amp;pound;182m in 2016 &amp;amp; predicted to reach &amp;pound;1bn by 2020. It addresses the shifting demographics of younger, more active patients with localized knee OA who require tissue-sparing knee surgery to retain joint architecture &amp;amp; preserve function. The project is aligned with the competition brief aimed at developing patient-specific therapies in healthcare by combining clinical knowledge with advances in diagnostic techniques, data aggregation, &amp;amp; analysis. The project requires a multi-disciplinary team in orthopaedics, software engineering, 3D printing, &amp;amp; robotics, which will be achieved through partnership between a global medical device company (S&amp;amp;N), 2 SME’s, (DCSL &amp;amp; Euriscus) &amp;amp; an academic group (Imperial College). The consortium is requesting &amp;pound;699.7k to fund a 3yr study to gain new skills for the purpose of commercial development, which could lead to the development of new products, &amp;amp; NHS services.</ns2:abstractText></ns2:project>