Prof Carding shared this with us in the PRIME group,
"DISCOVER-ME includes 21 partners and ME research groups spread across Europe and North America. I co-lead the programme with an Austrian colleague and in addition to the Quadram Institute, Cardiff Univ. and David Price are the UK, and PRIME, representatives in the consortia."
Title Biological evidence and mechanism-based disease classification for the improved diagnosis, prognosis and treatment of ME/CFS (DISCOVER-ME)
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem disease affecting up to 1% of the population. It is defined by post-exertional malaise, persistent fatigue, cognitive and neurological symptoms, and autonomic, endocrine, and immune dysfunction. Clinical heterogeneity and the absence of specific diagnostic tests lead to long delays in diagnosis, lack of effective therapies, and a socioeconomic burden exceeding €40 billion annually in Europe. DISCOVER-ME will deliver the first clinically actionable, biologically validated stratification framework for ME/CFS. Through harmonised clinical phenotyping of 2,000 patients and multi-omics profiling of >900 samples from five European biobanks, the project will identify, validate, and prioritise biomarkers across (epi)genetic, immune, metabolic, neuroendocrine, and vascular domains. This large-scale, reproducible approach overcomes decades of fragmented, underpowered studies that have stalled progress. Three innovations set DISCOVER-ME apart: (i) a robust biomarker discovery and validation pipeline; (ii) the first systems-level taxonomy of ME/CFS grounded in mechanistic disease drivers and supported by AI-assisted stratification; and (iii) open-access disease maps and digital twin models that combine biological mechanisms with social and economic determinants of health, enabling in silico testing of therapeutic hypotheses. These outputs will underpin biomarker-guided clinical trials and precision drug repurposing. Patient involvement is embedded throughout—from co-design of phenotyping tools to surveys, stratification frameworks, and policy recommendations—ensuring that lived experience informs all biomedical and computational outputs. By integrating patient, clinical, and biological perspectives, DISCOVER-ME will deliver evidence and tools directly relevant to patients, clinicians, and health systems.