<?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/B08CC977-F8B1-4364-BB3D-D294872183B3" ns1:id="B08CC977-F8B1-4364-BB3D-D294872183B3"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/5A0013F8-C344-47DF-87F2-055D7B9974EF" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/434C89F0-CD18-472E-84D1-4C08194A979B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/434C89F0-CD18-472E-84D1-4C08194A979B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2022-07-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A507B360-71FC-4C85-8C27-F721FB049932" ns1:rel="FUND" ns1:start="2021-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">86627</ns2:identifier></ns2:identifiers><ns2:title>Raptor Biosensor Project</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The Raptor Biosensor: A highly sensitive sensor with integrated neural networks, uniquely able to detect airborne pathogens such as viruses and bacteria in real-time with the view to quantify infection transmission risk. This groundbreaking innovation will have a great public health benefit, and ease the return to normal life as we emerge from the covid threat.</ns2:abstractText></ns2:project>