The Knowledge Management Unit is actively participating in several European and national research and development projects, applying both basic and applied research methodologies.

These projects focus on leveraging advanced technologies such as AI, large language models (LLMs), and quantum cryptography to enhance healthcare information systems, decision support services, and the security of cloud-based services.

Furthermore, the unit is transforming research outcomes into tangible applications and services, bringing them to the market via its spin-off company, Syndesis Ltd

Core Research Activities:

1. • Information Systems and Knowledge Management: Creating and maintaining systems to manage healthcare information effectively, leveraging AI and large language models (LLMs) to extract valuable insights from electronic health records (EHRs).
   • Intelligent Decision Support Systems: Supporting the development of digital doctor models, automatic diagnosis, and multispectral imaging using AI and intelligent algorithms. Implementing decision support systems for medical personnel by utilizing information extraction from heterogeneous content, such as EHRs, with multimodal LLMs to enhance diagnosis and decision-making
   • Security of Cloud-Based Services: Ensuring the security of cloud-based healthcare services by employing cutting-edge quantum cryptography and post-quantum cryptography (PQC) techniques to protect sensitive health data.
   • Edge Computing and AI-driven Virtual Assistants: Utilizing edge computing technology integrated with specialized LLMs to provide smart home services, enhancing healthcare delivery and patient monitoring. Developing AI-driven virtual assistants to support patient self-management services and enhance patient engagement.
   • Competency-Based Learning: Developing systems for competency-based learning to enhance the skills and knowledge of professionals through tailored eLearning solutions, incorporating AI-driven learning approaches