Updated on 11 September 2026
VUMF expertise for HORIZON-HLTH-2027-03-TOOL-08
Director, Lithuanian population & rare disorders biobank, Vilnius University Faculty of Medicine at Vilnius University
Vilnius, Lithuania
About
Vilnius University Faculty of Medicine views advanced artificial intelligence as a transformative technology with the potential to improve healthcare delivery, clinical decision-making, biomedical research, and health system efficiency. The Faculty brings expertise from medicine, translational research, public health, biomedical data analysis, and digital health innovation. Its interdisciplinary environment enables collaboration between clinicians, scientists, data specialists, and technology developers to explore responsible and impactful AI applications in healthcare. VU FM is particularly interested in projects addressing trustworthy AI, explainability, clinical adoption, validation in healthcare settings, and integration with health data ecosystems. Through access to research infrastructure, clinical environments, and health-related datasets, the Faculty can support both development and real-world evaluation of advanced AI solutions.
Topic
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
Type
- Partner seeks Consortium/Coordinator
Similar opportunities
Project cooperation
VUMF expertise for HORIZON-HLTH-2027-03-TOOL-04
- Partner seeks Consortium/Coordinator
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
Giedre Kvedaraviciene
Director, Lithuanian population & rare disorders biobank, Vilnius University Faculty of Medicine at Vilnius University
Vilnius, Lithuania
Project cooperation
VUMF Expertise for HORIZON-MISS-2027-02-CANCER-01
- Partner seeks Consortium/Coordinator
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-01 Leveraging functional genomics to reveal novel targets for cancer treatment
Giedre Kvedaraviciene
Director, Lithuanian population & rare disorders biobank, Vilnius University Faculty of Medicine at Vilnius University
Vilnius, Lithuania
Project cooperation
VUMF expertise in HORIZON-HLTH-2027-02-TOOL-01-two-stage
- Partner seeks Consortium/Coordinator
- 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
Giedre Kvedaraviciene
Director, Lithuanian population & rare disorders biobank, Vilnius University Faculty of Medicine at Vilnius University
Vilnius, Lithuania