<?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/D8DCB941-9B5B-4D89-B2B7-7B7F65936B09" ns1:id="D8DCB941-9B5B-4D89-B2B7-7B7F65936B09"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/763F0B2F-88F0-4E8A-88FE-B7C8A1B838EC" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FF18AB98-2F4A-4546-92D2-C4D532F86E29" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FF18AB98-2F4A-4546-92D2-C4D532F86E29" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2017-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B80861C8-204B-48D2-A99B-BD486AE437DC" ns1:rel="FUND" ns1:start="2016-12-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">132600</ns2:identifier></ns2:identifiers><ns2:title>Global Cooperation Feasibility Studies</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>1 in 5 of us experience mental health problems during our lifetime but more than 50% of patients don’t receive

adequate care when assessed using current methods - leading to risk of further deterioration in well-being,

reduction in quality of life, loss of income, family breakdown, and self-harming. SaccScan is a novel point-of-

care (PoC) software diagnostic system which has been demonstrated to detect schizophrenia with better than

95% accuracy and has been extended with the same precision to bipolar disorder and major depression

illnesses. The software diagnostic tool successfully utilises eye-movement abnormalities as clinical diagnostic

biomarkers for serious mental illnesses. The test can be performed within 30 minutes and results produced

over the internet at near real-time speed. The purpose of this study is to explore international partnerships for

bringing a minimum viable version of the test to market and address the global challenge of improving

treatment outcomes through personalising medicine in mental health care.</ns2:abstractText></ns2:project>