Updated on 23 October 2026
Cardio-Renal Virtual Human Twins – Clinical Validation
Prof. Dr. Ahmet Baş at Istanbul University Cerrahpasa
İstanbul, Türkiye
About
CEYAZEM (Cerrahpaşa Artificial Intelligence Center), Istanbul University-Cerrahpaşa, Türkiye, seeks a consortium/coordinator for HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis.
We aim to participate as an academic hospital-based scientific beneficiary, contributing clinical and AI expertise throughout research, model development and clinical evaluation.
Proposed clinical focus: a nephrology use case extending towards a cardio-renal, multi-organ Virtual Human Twin. Longitudinal clinical information, laboratory measurements and medical imaging could support risk stratification, disease-progression modelling and personalised clinical decision support. The use case will be refined with the consortium.
Potential contributions:
• Clinical needs assessment, use-case design and definition of clinically relevant endpoints.
• Multidisciplinary collaboration among nephrology, radiology, AI researchers and other clinical specialties.
• Multimodal and longitudinal data preparation and analysis.
• Development and scientific/clinical validation of AI-based predictive and decision-support models.
• Evaluation of clinical utility and integration into healthcare workflows.
• Responsible AI, training and dissemination.
We seek coordinators and complementary partners in Virtual Human Twin modelling, cardiovascular modelling, multimodal AI, health-data interoperability, federated infrastructures and clinical decision support.
Cohort size, longitudinal data availability and recruitment capacity will be assessed during consortium development. Clinical data use and prospective studies are subject to feasibility, ethics approval and institutional authorisation. No unrestricted data access or transfer is implied.
Topic
- Destination 5: HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
Type
- Partner seeks Consortium/Coordinator
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