Projects per year
Project Details
Description
The goal is the technical realization and clinical testing of a smell sensor for the automated detection of cancer using state-of-the-art deep learning methods from the field of artificial intelligence. As a non-invasive examination method, odor measurement represents a cost-effective and fast alternative to conventional screening using nuclear medicine procedures (such as MRI).
| Acronym | CANDOR |
|---|---|
| Status | Active |
| Effective start/end date | 01.02.2025 → 31.07.2025 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- FiveSquare GmbH
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
- 302 Clinical Medicine
- 301 Medical-Theoretical Sciences, Pharmacy
- 303 Health Sciences
- 304 Medical Biotechnology
- 305 Other Human Medicine, Health Sciences
- 302024 Haematology
- 302055 Oncology
- 301108 Molecular pathology
- 301101 General pathology
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
-
AI5Production - European Digital Innovation Hub
Plösch, R. (Researcher), Wimmer, M. (Researcher) & Krumay, B. (PI)
01.11.2022 → 31.10.2025
Project: Funded research › EU - European Union