Project cooperationUpdated on 26 January 2026
Data-Driven and AI-Enabled Healthcare Solutions
project manager at Semmelweis University
Budapest, Hungary
About
RELEVANT EXPERTISE AND CONTRIBUTION TO THE CALL OBJECTIVES:
AI in Healthcare and Generative AI
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Utilisation of Electronic Health Records (EHR), imaging, laboratory, and unstructured clinical data to support AI-based therapeutic recommendations.
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Development of Generative AI applications for clinical decision support, including virtual health assistants and personalized medicine solutions.
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Data curation and multimodal integration for end-to-end AI model training and validation in oncology, radiology, primary care, and genomics.
Multimodal Data Integration and Application-Driven Use Cases
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Harmonisation of diverse datasets (EHR, imaging, omics, patient pathways) for AI and GenAI research.
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Concrete use-cases spanning colorectal cancer screening, mammography, cardiotocography, and genetic data integration.
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Linking AI outputs to structured patient pathways to enable clinical validation and personalized recommendations.
Pandemic Preparedness and Public Health Surveillance
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Development of GDPR-compliant, mobile-cell-based data collection methodologies for population-level transmission modelling.
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Integration of clinical, genomic, environmental, and mobility data for real-time monitoring and prediction.
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Innovative wastewater sample-based genomic surveillance, AI-enhanced analysis, and evidence-based policy support.
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Capacity planning and vulnerability analysis of healthcare systems.
End-user and Stakeholder Engagement
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Co-design of AI tools with clinicians, GPs, public health responders, and vulnerable populations.
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Training, capacity building, and structured feedback collection for practical deployment.
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Policy recommendations and dissemination of best practices to stakeholders and decision-makers.
KEYWORDS:
Data-driven healthcare, Generative AI, Multimodal health data integration, Clinical decision support, Pandemic preparedness, Virtual health assistants, Patient pathways, Personalized medicine, Surveillance
FORMER PARTICIPATION IN EU PROJECTS:
Horizon Europe: SECURED, X-panDH; EU4HEALTH: JA Chrodis Plus, JA Best-Remap, AMR EDUCare, ShowUp4Health, JACARDI, MiMIND, H-PASS, HEROES, JA IMPLEMENTAL; Interreg Europe: Digi4Care, Helium; Digital Europe: Data-EDIH, CHAFEA, TaSHI, SEPE
Topic
- DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-09: Multisectoral approach to tackle chronic non-communicable diseases: implementation research maximising collaboration and coordination with sectors and in settings beyond the healthcare system (GACD)
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
- DESTINATION 4: HORIZON-HLTH-2026-01-CARE-03: Identifying and addressing low-value care in health and care systems
Type
- Partner seeks Consortium/Coordinator
Similar opportunities
Project cooperation
AI-enabled personalised care pathways for preventive and precision medicine
- Partner seeks Consortium/Coordinator
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
Bruno Pires
Managing Partner at Here Partners
Lisbon, Portugal
Project cooperation
Multimodal AI for Cardiac Risks Prediction and Diagnosis
- Partner seeks Consortium/Coordinator
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
Alessandro Perelli
Lecturer in Artificial Intelligence at University of Glasgow
Glasgow, United Kingdom
Project cooperation
VIOSync®: An AI-Driven Clinical Decision Support System for Early Risk Detection and Proactive Care
- Partner seeks Consortium/Coordinator
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
- DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-03: Building public trust and outreach in the life sciences
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
Ioannis Gkouzionis
CEO at Aisthesis Medical
London, United Kingdom