CANDOR – Cancer Detection by Odor

Activity: Talk or presentationInvited talkscience-to-science

Description

Cancer is a global health problem and a leading cause of death. Early detection of cancer, combined with effective treatments, will significantly improve patient survival. Established cancer diagnostics based on biopsies, Imaging and blood tests, while important and effective, have their limitations, are invasive, time-consuming, costly and sometimes painful. The CANDOR pilot study aims to explore the diagnostic capability of sensor-based techniques for the non-invasive early detection of cancer by analyzing volatile organic compounds (VOCs), which reportedly have been associated with certain malignancies. Novel sensor technology in conjunction with AI-based pattern analysis aims to identify odor signatures that discriminate tumor tissue from non-malignant human tissue. Moreover, we will investigate of the suitability of different cancer types, as well as the dependency on tumor burden and location. The results of this research project may expand the existing diagnostic armamentarium, and will also
create a basis for future projects exploring olfactory technology in cancer diagnosis and treatment guidance. They might pave the road for the development of innovative diagnostic tools in other clinical disciplines beyond cancer.
Period10 Apr 2025
Event titleForschungsinteraktion TNF - MED 2025
Event typeConference
LocationLinz, AustriaShow on map
Degree of RecognitionLocal

Fields of science

  • 102020 Medical informatics
  • 102022 Software development
  • 102006 Computer supported cooperative work (CSCW)
  • 102027 Web engineering
  • 502050 Business informatics
  • 102040 Quantum computing 
  • 102016 IT security
  • 503015 Subject didactics of technical sciences
  • 509026 Digitalisation research
  • 102015 Information systems
  • 102034 Cyber-physical systems
  • 502032 Quality management
  • 211928 Systems engineering

JKU Focus areas

  • Digital Transformation