Project cooperationUpdated on 12 December 2025
PAIRE, AI Specialist in Nuclear Medicine
CEO at PAIRE
PARIS, France
About
PAIRE is a French medical technology company specialized in the development, regulatory approval, and deployment of artificial intelligence software for medical imaging, with a strong focus on nuclear medicine and PET/CT.
PAIRE designs, develops, and commercializes Software as a Medical Device (SaMD) intended to assist healthcare professionals in the analysis and interpretation of medical images, notably through automated detection, segmentation, quantification, and longitudinal comparison of imaging findings. Its flagship product, Pionus, is a CE-marked AI solution integrated into clinical DICOM workflows, supporting nuclear medicine physicians in the evaluation of FDG and PSMA PET/CT examinations while fully preserving physician oversight and responsibility.
Beyond product development, PAIRE conducts research and development activities in medical image analysis, machine learning, and clinical validation in collaboration with hospitals, academic partners, and clinical experts. The company is actively involved in performance evaluation, clinical validation, regulatory compliance (EU MDR), cybersecurity, and data protection, ensuring that its solutions meet high standards of safety, effectiveness, and interoperability. PAIRE also provides installation, maintenance, user support, and continuous improvement of its software solutions, enabling their secure integration into hospital IT environments worldwide.
Topic
- 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-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 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices
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 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-05: Pilot actions for follow-on funding: Leveraging EU-funded collaborative research in regenerative medicine
- 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 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices
Maria Kitsara
Science and Innovation Manager at BIOEMTECH
Gerakas Attikis, Greece
Project cooperation
- Partner seeks Consortium/Coordinator
- 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
Songül Varlı
Professor - Head of Computer Vision Group at Yildiz Technical University - Computer Engineering Department
İstanbul, Türkiye
Project cooperation
Computer Vision for Stem Cells, Tissues, and Molecular Imaging
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Muhammed Akyuzlu
AI / Computer Vision Engineering at Emoda
izmir, Türkiye