July 7, 2025
The Institute of Informatics & Telecommunications at NCSR Demokritos took part at the 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS) which was held in Universidad Politécnica de Madrid (UPM), in Madrid, Spain, between 18 – 20 June 2025.
The symposium covered a broad spectrum of topics, such as medical data mining, clinical decision support systems, AI in healthcare, medical image analysis, and health informatics. Several special tracks with focused themes were also part of this edition of CBMS. Attendees benefited from keynote speeches, dedicated sessions, poster presentations, and social events, and had a unique opportunity to connect with leading thinkers and innovators in the field.
IIT’s researcher Konstantinos Bougatiotis presented his paper titled “Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph“ in the context of the EU project SIMPATHIC.
More specifically, the paper proposed a method that utilises knowledge graph derived from biomedical literature and open databases, to predict different classes of drug-drug interactions. First, a disease-specific knowledge graph is created from available heterogeneous sources, by extracting information and fusing them under a common ontology. Then a machine learning model, using path-based features from the knowledge graph, is developed to predict probable drug-drug interactions and their type.
The 38th IEEE CBMS fostered greater interaction, collaboration, and networking opportunities among participants, ensuring a more immersive and engaging experience for everyone involved.
For more information visit https://2025.cbms-conference.org/