<?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/33F69668-4871-4288-8D04-64B3B2185DE9" ns1:id="33F69668-4871-4288-8D04-64B3B2185DE9"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/711E4FB4-816F-4405-980C-B21C8BB69F73" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E53F3EC8-C5DA-4DBD-BFEC-2EBF3ED6AFCA" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E53F3EC8-C5DA-4DBD-BFEC-2EBF3ED6AFCA" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/23561A74-3414-4DC9-84D0-D4EC997C5F72" ns1:rel="FUND" ns1:start="2023-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10069479</ns2:identifier></ns2:identifiers><ns2:title>New AI-based method for early detection of lung cancer</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>EU-Funded</ns2:grantCategory><ns2:leadFunder>Horizon Europe Guarantee</ns2:leadFunder><ns2:abstractText>Sierra Medical (SM) is developing SM-S1 - a highly innovative early-stage lung cancer (LC) detection test which combines artificial intelligence (AI) and the biochemistry of a patient's cheek cells. Our novel analytical algorithm combines infrared spectroscopy, biological/medical information, machine learning and AI to extract subtle spectral differences between healthy and diseased cells (Slide 5). Our system is non-destructive (tests can be performed on the same sample), requires only a few hundred cells and is easy-to-use by any healthcare professionals without extensive training. It could be easily conducted at home or in a Primary Care setting (GP practice or pharmacy). Our first product, SM-S1, is a LC early detection tool that uses only a cheek swab, and our latest clinical trial results are very promising, showing sensitivity of 93%. Also, our technology and software platforms are being developed to detect other diseases, such as oesophageal and colon cancers, and analyse other sample types, as biopsy tissue samples.</ns2:abstractText></ns2:project>