Early Detection of Parkinson’s Disease through Smell and Artificial Intelligence

Activity: Talk or presentationInvited talkscience-to-science

Description

Human body odor as a diagnostic marker for the detection of pathological changes is the subject of numerous studies in medicine. Body odor e.g., is a by-product of tumor growth and can be detected in exhaled air and body fluids. In disease screening, olfactory measurement is potentially attractive for disease prevention, especially when applied in the prodromal stage. In Parkinson’s disease (PD), the onset of the neurodegenerative process precedes the clinical manifestation by years or decades. If PD could be detected at this early stage, therapies could effectively counteract the progression of the disease. The aim of our pilot study is an AI-based olfactory differentiation of PD in its prodromal and clinically-manifest stage in comparison to healthy controls. By analyzing body odor, we want to provide a basis for further Research in the field of odor-based early diagnosis of neurodegenerative diseases, e.g., Alzheimer’s disease.
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