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Emoda

Company (SME)

www.emodayazilim.com/KARŞIYAKA, Türkiye
23 profile visits

About

We are a Turkey based software company focused on healthcare innovation through computer vision, AI, and mobile applications. We develop intelligent healthcare solutions that leverage computer vision for medical image analysis, AI driven predictive models, and mobile platforms for remote patient monitoring. Our applications integrated with IoT and medical devices to enable real time data collection and clinical decision support.

Our technology processes medical images and biosignals to extract actionable insights, powering Al based diagnostics and predictions. Through our Health Data Platform, we gather data from diverse sources including wearable devices, electronic health records, and patient reported outcomes to support personalized care and early risk detection.

We also create digital twin solutions that simulate patient scenarios and optimize treatment pathways. With extensive experience in European funded R&D projects, we partner with hospitals, research institutions, and industry leaders to deliver scalable, clinically validated AI solutions that transform healthcare delivery.

Representatives

Developer / International projects

Emoda

AI / Computer Vision Engineering

Emoda

Marketplace (2)

  • Project cooperation

    Computer Vision for Stem Cells, Tissues, and Molecular Imaging

    we uses computer vision/AI to analyze stem cells, pancreatic tissues, and protein movement along DNA for quality control and drug discovery

    • Consortium/Coordinator seeks Partners
    • 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-03: Building public trust and outreach in the life sciences
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
    • 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)
    Author

    AI / Computer Vision Engineering at Emoda

    izmir, Türkiye

  • Project cooperation

    AI-Powered Early Lung Cancer Detection Using Wearable Data

    AI-powered mobile apps using wearable data to detect lung cancer risk factors for early intervention.

    • Consortium/Coordinator seeks Partners
    • 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-03: Building public trust and outreach in the life sciences
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
    • 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)
    Author

    AI / Computer Vision Engineering at Emoda

    izmir, Türkiye