Updated on 28 August 2026
Clinical Decision Support Systems Development, Deployment for Diagnosis Decisions in Possible Oncology Cases
PhD and CEO at DATASURGERY YAZILIM VE DANISMANLIK A.S.
Istanbul, Türkiye
About
DATASURGERY is a health technology company developing AI-based clinical decision support solutions, with expertise in medical imaging, radiology, medical image processing, clinical data management, and the integration of AI models into clinical workflows. The company has developed AI-supported solutions particularly in ultrasound imaging and is currently progressing towards their evaluation and pilot testing in hospital environments.
Building on this technological infrastructure and clinical AI expertise, DATASURGERY can contribute to the identified Horizon Europe calls through the development, integration, and clinical validation of AI-enabled Virtual Human/Health Twin applications. In particular, our existing medical imaging AI solutions can be combined with 3D modelling and simulation technologies to develop patient-specific 3D Virtual Twin use cases that integrate medical imaging and clinical data for real-time risk assessment, diagnosis, surgical planning, and personalised clinical decision-making. These solutions can subsequently be tested and validated together with clinical partners in relevant healthcare environments.
Through collaboration with universities and research institutes specialising in Virtual Human Twins, 3D modelling, simulation, and patient-specific modelling, DATASURGERY can further contribute to the development and real-world adoption of Virtual Health Twin technologies, including their integration into existing clinical workflows and digital health infrastructures.
Beyond Virtual Health Twin applications, DATASURGERY can also participate in cross-sector projects that translate advanced industrial technologies into healthcare applications. By collaborating with industrial partners specialising in advanced materials, manufacturing technologies, digital production, and related enabling technologies, healthcare-oriented, portable diagnostics use cases can be developed in which DATASURGERY contributes its expertise in AI, medical imaging, clinical decision support, and clinical validation. This approach can help connect emerging industrial technologies with concrete clinical needs and enable their evaluation in real-world healthcare environments.
With its combination of established AI technologies, medical data expertise, and R&D capabilities, It can contribute to such collaborative projects both as a technology provider and an industry R&D partner, supporting activities ranging from AI development and medical data processing to system integration, pilot implementation, and real-world clinical validation.
DATASURGERY is particularly interested in joining European and international R&D consortia and collaborating with project coordinators, universities, research institutes, clinical organisations, and industrial partners seeking an industry partner with expertise in AI-enabled healthcare, medical imaging, clinical decision support, health data processing, pilot implementation, and real-world validation. Through these collaborations, DATASURGERY aims to contribute its existing technologies and expertise while jointly developing and validating new solutions addressing the objectives of relevant Horizon Europe calls.
Stage
- Ideation - identifying the project idea / Concept note/ Idea
Topic
- Digital and Smart Health
Call
- HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- HORIZON-HLTH-2027-03-TOOL-08: Towards Artificial General Intelligence (AGI) for healthcare
- HORIZON-HLTH-2027-02-IND-02-two-stage: Portable and versatile Point-of-care diagnostics
Type
- Partner seeks Consortium
- Partner offers specific expertise / technical solution
Similar opportunities
Project cooperation
AI-Enabled Advanced Materials for Portable and Remote Diagnostics
- Digital and Smart Health
- Ideation - identifying the project idea / Concept note/ Idea
- HORIZON-HLTH-2027-02-IND-02-two-stage: Portable and versatile Point-of-care diagnostics
- HORIZON-CL4-2027-01-MATERIALS-PRODUCTION-22: Innovative advanced materials and new production processes – reducing dependencies on Critical and Strategic Raw Materials (Innovative Advanced Materials for the EU and Processes4Planet partnerships)
Burcu Bektas Gunes
PhD and CEO at DATASURGERY YAZILIM VE DANISMANLIK A.S.
Istanbul, Türkiye
Expertise
Burcu Bektas Gunes
PhD and CEO at DATASURGERY YAZILIM VE DANISMANLIK A.S.
Istanbul, Türkiye
Project cooperation
Risk-Based Biological Validation of Virtual Human Twins for Early Warning in Kidney Health
- Core consortium exists
- Completing the consortia
- Digital and Smart Health
- Design - setting the project scope
- Ideation - identifying the project idea / Concept note/ Idea
- HORIZON-HLTH-2027-03-TOOL-02: Advancing bio-printing of living cells for regenerative medicine
- HORIZON-HLTH-2027-02-DISEASE-01-two-stage: Innovative healthcare interventions for non-communicable diseases
- HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- HORIZON-HLTH-2027-01-IND-01: Development of cell-free protein synthesis platforms for discovery and/or production of biologicals
- HORIZON-HLTH-2027-01-ENVHLTH-02: Integrating climate-related exposures into the human exposome and characterising its changes in response to climate change
- HORIZON-HLTH-2027-02-TOOL-01-two-stage: Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Ahsen Morva Yilmaz
Senior Researcher, Immunologist at TUBITAK Marmara Research Center
Kocaeli, Türkiye