From Baltic Region to European Cooperation

3–6 Jun 2025 | Brussels, Belgium

Project cooperationUpdated on 2 May 2025

Digital Twin Consortium

Mahmoud Elfiky

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

Cairo University

University

Cairo, Egypt

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