Updated on 26 August 2026
R84 Consortium: Building Inclusive Cancer Data Partnerships Across Europe
Marketing Lead at PAICON GmbH
Heidelberg, Germany
About
84% of the global population is underrepresented in the data used to train health AI systems, resulting in diagnostic and treatment models that perform unevenly across patient populations. PAICON is building the R84 Consortium, a growing network of clinical, research, and technology partners committed to closing this gap, with an initial focus on oncology. Data is collected through molecular techniques and molecular diagnostics, in an ethical and regulatory-approved manner overseen by established research organizations, and structured through our PaiX Navigator platform to connect clinical, genomic, and real-world health data into more representative, usable datasets that support the development of equitable diagnostic tools, predictive biomarkers, and clinical decision-support systems. We are seeking clinical and research partners with access to oncology patient cohorts, real-world clinical data, or biobanked samples, particularly from underrepresented regions, rare cancer subtypes, or currently underserved patient populations, with a specific interest in partners from Germany and Eastern Europe as we expand R84's recruitment scope, and in return we bring data infrastructure and platform capability, AI and data engineering expertise, and consortium coordination experience from prior Horizon Europe applications.
Topic
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-04 Improving equitable health outcomes and added value for and with cancer patients through health-economics research, health systems research and outcomes research
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Type
- Consortium/Coordinator seeks Partners
Organisation
Similar opportunities
Project cooperation
Multi-omics and phenotype integration for cancer molecular subtyping and patient stratification
- Partner seeks Consortium/Coordinator
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-01 Leveraging functional genomics to reveal novel targets for cancer treatment
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Arsen Arakelyan
Director, Head of Human Genomics Lab at Institute of Molecular Biology
Yerevan, Armenia
Project cooperation
Clinical & Methodological Support for Cancer and Non-cancer PCP
- Partner seeks Consortium/Coordinator
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-05 Pre-commercial procurement of affordable solutions for healthcare systems in the areas of cancer technologies, cancer medical devices, or cancer medicines
Magdalena Krystkiewicz-Orzechowska
Assistant Professor at Department of Molecular Carcinogenesis, Medical University of Łódź
Łódź, Poland
Project cooperation
Patient-specific iPSC biobanking for disease modeling and precision medicine
- Partner seeks Consortium/Coordinator
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-01-two-stage Innovative healthcare interventions for non-communicable diseases
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-01 Leveraging functional genomics to reveal novel targets for cancer treatment
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-14-two-stage Clinical trials for advancing innovative interventions for neurodegenerative diseases
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
Arsen Arakelyan
Director, Head of Human Genomics Lab at Institute of Molecular Biology
Yerevan, Armenia