Core partner in INNODIA (biomarker discovery), KidsAP (closed-loop insulin delivery in children), Hypo-RESOLVE (hypoglycaemia data harmonization), and related diabetes projects.
MEDIZINISCHE UNIVERSITAT GRAZ
Austrian medical university specialising in diabetes research, biobanking infrastructure, and privacy-preserving health data analytics across 50 EU projects.
Their core work
Medical University of Graz is a leading Austrian medical university with deep expertise in diabetes research, biobanking infrastructure, and clinical trials. They contribute specialized medical data, patient cohorts, and biomarker analysis to large European health consortia — particularly in type 1 diabetes management, stroke prevention, and rare disease research. Their work spans from molecular diagnostics and genomics to privacy-preserving health data analytics, making them a bridge between clinical medicine and digital health innovation.
What they specialise in
Involved in BBMRI-ERIC ecosystem (ADOPT BBMRI-ERIC, CY-Biobank, B3Africa, CORBEL), plus EASI-Genomics and EOSC-Life for FAIR data and biobank standards.
Contributor to PRESTIGE-AF (stroke prevention in atrial fibrillation), PRECISE4Q (predictive modelling in stroke), and related clinical studies.
Biomarker work across PERFORM (febrile illness), PoCOsteo (osteoporosis biosensors), RNADIAGON (non-coding RNA diagnostics in oncology), ELSAH (molecular biomarker smart patches), and SPIDIA4P (pre-analytical standardisation).
Partner in FeatureCloud (federated machine learning for health records), EOSC-Life (GDPR-compliant cloud for biology), and EASI-Genomics (FAIR genomic data sharing).
Contributor to OSTEOproSPINE (bone regeneration drug for spinal disease), PoCOsteo (osteoporosis point-of-care), and MgSafe (biodegradable magnesium implant safety).
How they've shifted over time
In the early H2020 period (2015–2018), Med Uni Graz focused on clinical diabetes research, biobank infrastructure building, and disease-specific personalised medicine — anchored in projects like INNODIA, KidsAP, and PRESTIGE-AF. From 2019 onward, a clear shift emerged toward digital health infrastructure: bioinformatics, EOSC integration, GDPR-compliant data sharing, federated AI (FeatureCloud), and genomics platforms. The university moved from being primarily a clinical data contributor to actively shaping how health data is managed, shared, and analysed across Europe.
Med Uni Graz is positioning itself at the intersection of clinical biobanking and FAIR/AI-driven health data ecosystems — expect growing activity in federated learning, EOSC services, and privacy-preserving clinical analytics.
How they like to work
Med Uni Graz overwhelmingly participates as a consortium partner (40 of 50 projects), coordinating only 3 projects — they are a trusted specialist contributor rather than a consortium leader. With 698 unique partners across 54 countries, they operate as a highly connected node in European health research, comfortable in large multi-partner consortia (many projects have 15+ partners). This makes them easy to integrate into new consortia: experienced, reliable, and collaborative without competing for the lead role.
Exceptionally broad network of 698 unique consortium partners spanning 54 countries, reflecting deep integration into European biomedical and research infrastructure communities. Strong ties to pan-European biobanking networks (BBMRI-ERIC) and health research infrastructures, with reach well beyond the EU into Africa and other regions.
What sets them apart
Med Uni Graz combines hands-on clinical expertise (diabetes, stroke, rare diseases) with deep involvement in European research data infrastructure — a rare combination that lets them contribute both patient cohorts and data governance know-how. Their BBMRI-ERIC and EOSC involvement means they understand the standards, ethics, and technical requirements for cross-border health data sharing at a practical level. For consortium builders, they bring credibility in both the clinical and data infrastructure worlds, which is increasingly essential for health projects that must demonstrate FAIR data compliance.
Highlights from their portfolio
- INNODIALong-running (2015–2023) type 1 diabetes project with substantial EUR 499K funding, combining biobanking, biomarker discovery, and clinical trial networks — a flagship of their diabetes expertise.
- FeatureCloudEUR 510K project on federated machine learning and blockchain for health records — signals their strategic move into privacy-preserving AI for healthcare.
- InsiliCardioOne of only 3 projects they coordinated, focused on image-based cardiac modelling — demonstrates independent research leadership in computational medicine.