Project cooperationUpdated on 30 April 2025
Multi-omics in Systemic Lupus Erythematosus: precision in Disease evaluation and management.
Professor of Surgery and Health NCP for Egypt at Cairo University
About
The use of Proteomics to identify, map novel protein biomarkers and release valuable information on the predisposition to the disease and disease related clinical spectrum can guide proper diagnosis, assessment, and therapy of autoimmune diseases.
Provide a succinct statement about the potential of the proposed research to improve the standard of care or quality of life of people with lupus.
Topic
- 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
Attached files
Organisation
Similar opportunities
Project cooperation
Explainable AI: from requirements to evaluation of results
- Partner seeks Consortium/Coordinator
- Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Marco Ciaramella
R&D manager, adjunct professor AI at Intellisemantic
Rivoli, Italy, Italy
Project cooperation
New AI tools and biomarkers in cancer detection
- Partner seeks Consortium/Coordinator
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Jakub Fichna
Professor at Medical University of Lodz, Poland
Łódź, Poland
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