SOURCE-LINKED INTELLIGENCE
Translational METabolomics for NEurodegenerative Diseases dIAgnosis and prognosis
ty in symptom presentation across patients. METNEDIA will tackle these challenges by proposing a new framework for the development of a diagnostic tool. METNEDIA will utilize metabolomic analysis and artificial intelligence to develop a diagnostic tool for the diagnosis of neurodegenerative diseases. A discovery phase will be initially performed using untargeted metabolomic approaches to identify most relevant biomarkers. The project will then develop of a diagnostic kit based on mass spectrometry and artificial intelligence for the diagnosis of widely diffuse neurodegenerative diseases. A multicenter validation of the kit will be also performed. Neurotoxic evaluation of molecules identified as relevant for each disease will be evaluated in vitro. Finally, bioinformatic and machine learning will be used to gaining insight on the biology of neurodegenerative disorders using in vitro and in vivo data. Diagnostic
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1107210
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.