NSF CA: HEADLINE - HEAlth Diagnostic eLectronIc NoSe
| Reference number | |
| Coordinator | Linköpings universitet - Linköpings tekniska högskola Inst f fysik kemi & biologi IFM |
| Funding from Vinnova | SEK 1 190 000 |
| Project duration | January 2024 - April 2025 |
| Status | Completed |
| Venture | Convergence Accelerator - NSF |
Important results from the project
Tthe project was funded within the frames of Vinnovas and the Swedeish research councils collaboration with the U.S. National Science Foundation (NSF) program Covergence Accelerator 2024. The project goals included technical development and testing of an existing e-nose prototype, design of a new hybrid and modular gas sensor system, validation tests, development of advanced machine learning models, and data analysis. These goals were jointly met in a satisfactory way. The intensive curriculum development program produced additional significant results that added value to the project. Both in Sweden and US, the project established the foundation for relevant follow-up projects.
Expected long term effects
As long-term effects of the project, we expect that the results obtained will accelerate our research-to-business path, connect all involved partners in Sweden and US with a large ecosystem of relevant stakeholders, and give all team members increased competence, credibility, and recognition in Sweden, Europe and US. Expectations are high in all our areas of expertise: scientific, technological, medical, and business.
Approach and implementation
The project was carried out in close collaboration between Swedish and US-based teams. Based on the project plan and progress on the curriculum development training, the partners designed, fabricated, tested different gas sensor technologies for detection of specific gases as well as total VOCs from blood samples. Data were used to develop robust binary classification models based on advanced machine learning algorithms. The activities were dynamically adapted to the project progress and needs.