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

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.