Detecting Multiple Sclerosis via breath analysis using an electronic Nose
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Project summary
We will investigate whether an eNose can detect Multiple Sclerosis (MS) and monitor the disease’s progression. There is not yet a quick test nor a non-invasive method to identify patients with MS or distinguish between various types of MS. An electronic Nose is a diagnostic device to detect patterns in the compounds that are exhaled by patients. The disease-specific metabolic pathways give rise to specific compound-patterns in exhaled breath that aid in detecting diseases. Exhaled breath data and clinical parameters will be used to develop a predictive model to detect and monitor MS, based on supervised machine learning techniques
More detailed information
Principal Investigator:
Prof. dr. F.J.P.M. Huygen
Role Erasmus MC:
Coördinator
Department:
Department
Project website:
Not available
Funding Agency:
NWO
![Drukwerk](https://www.erasmusmc-rdo.nl/wp-content/uploads/2019/09/NWO-logo-RGB.jpg)