Project cooperationUpdated on 2 May 2025
Digital Twin Consortium
Professor of Surgery and Health NCP for Egypt at Cairo University
About
The process of constructing a digital twin involves integrating diverse datasets from medical records, clinical data, omics data (such as genomics, proteomics, and metabolomics), and imaging data. These data sources help create a comprehensive model that represents an individuals physiology, genetics, and health status. Using network analysis and sophisticated modeling techniques, these digital twins can simulate the behavior and responses of the real person.
Topic
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Type
- Consortium/Coordinator seeks Partners
- Partner seeks Consortium/Coordinator
Organisation
Similar opportunities
Project cooperation
Delineation of glioblastoma tumor margins based on MRI images, using Deep learning
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Mikolaj Buchwald
Postdoctoral Scientist at Poznan Supercomputing and Networking Center
Poznan, Poland
Project cooperation
Enhancing laryngeal pathologies diagnosis with genAI and clinical decision support systems
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Mikolaj Buchwald
Postdoctoral Scientist at Poznan Supercomputing and Networking Center
Poznan, Poland
Project cooperation
Machine learing and AI based Medical Diagnosis and Treatment of Cancer
- Partner seeks Consortium/Coordinator
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Jonas Cicenas
Assistant professor at Kauno Kolegija
Kaunas, Lithuania