Project cooperationUpdated on 27 November 2025
PROJECT COOPERATION
CEO at Metasoft
Eskişehir, Türkiye
About
Our organisation's expertise in processing medical imaging has enabled us to comprehensively understand various techniques and optimize the quality of our work. We work in the development of Machine Learning models to predict diseases, which helps the improvement of current treatments, by using techniques of supervised and/or unsupervised learning, such as deep learning, convolutional neural networks (CNN), long short-term memory networks (LSTMs), and many traditional techniques from the area.
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-01: Towards a better understanding and anticipation of the impacts of climate change on health
- 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
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-04: Development of novel vaccines for viral pathogens with epidemic potential
- 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
Type
- Partner seeks Consortium/Coordinator
Organisation
Similar opportunities
Project cooperation
- 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-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
Francesca Faraci
Leader and Founder of Biomedical Signal Processing and AI for healthcare Group at SUPSI
Lugano, Switzerland
Project cooperation
Early detection of heart failure in metabolic and high-risk cardiovascular diseases
- 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 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-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- 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)
Slavica Mitrovska
Cardiologist at Polyclinic Biotek
Skopje, North Macedonia
Project cooperation
Use of AI / technology / affective computing to build novel solutions for healthcare
- 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-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
Luca Citi
Professor at University of Essex
Colchester, United Kingdom