SOURCE-LINKED INTELLIGENCE
GRIP on MASH: Global Research Initiative for Patient Screening on MASH
ed as patients with type-2 diabetes mellitus, metabolic syndrome, obesity or arterial hypertension - will be screened and characterized; B) better patients’ stratification: the Platform will comprise artificial intelligence-based decision support tools that will make use of existing and novel biomarkers/biomarker combinations. Their predictive accuracy will be tested at the primary care level; there we will perform multi-OMICs analysis (proteomics, lipidomics, metabolomics, genomics, metagenomics and fluxomics) in fasted blood samples and we will explore imaging biomarkers/organ-on-a-chip to find future non-invasive diagnostic alternatives for the current standard (liver biopsies); and C) personalized lifestyle advice, by exploring evidence-based lifestyle features and the effect of nutritional recommendations: among the cohorts at the CoEs, we will use validated questionnaires to assess physical activity, diet, sleep, smoking, alcohol consumption, and perception of stress. Integrating patients’ perspectives with the participation of two patient organizations, the trustworthiness and
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 14035277.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.