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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

Metasoft

Company (SME)

Eskişehir, Türkiye

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