HNN3.0

Project cooperationUpdated on 7 January 2026

HORIZON-HLTH-2026-01-DISEASE-03 Collaboration Offer

R&D Specialist at Dogus Bilgi Islem ve Teknoloji Hizmetleri A.S.

İstanbul, Türkiye

About

As Doğuş Teknoloji, we can develop an AI- and GenAI-enabled decision support solution for post-infection care that integrates risk assessment and personalised follow-up. The solution combines classical machine learning models with generative AI to predict disease progression, explain risk levels, and support outcome-based follow-up and treatment recommendations in a modular and scalable manner.

• AI & GenAI-Based Risk Assessment Tool

  • Predict risk levels and disease progression for post-infection conditions using classical machine learning and statistical models (e.g. tabular and time-series models).

  • Use generative AI to structure and summarise clinical reports and guidelines.

  • Provide explainable risk scores by translating model outputs into clear, human-readable insights.

The second solution can be designed as a direct continuation of the risk assessment.

• Personalised Follow-up and Treatment Recommendation System

  • Compare outcome-based follow-up and treatment scenarios for patients with identified risk levels using machine learning models.

  • Use generative AI to link recommendations to relevant clinical guidelines, justify proposed actions, and present them in an understandable manner to users.

Topic

  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions

Organisation

Dogus Bilgi Islem ve Teknoloji Hizmetleri A.S.

Company (Industry)

İstanbul, Türkiye

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