The latest position paper, “Advancing Cancer Treatment by Strategically Integrating Multimodal Data: Challenges and Opportunities”, explores how diverse datasets—genomic, proteomic, imaging, and clinical data—can revolutionize personalized cancer care.
🔬 Key insights from the study: ✅ Tailored Therapies: Unlocking the power of multimodal data to personalize treatments. ✅ Semantic Interoperability: Addressing the semantic gap between raw data and meaningful interpretation. ✅ Machine Learning & Ontologies: Innovative solutions to enhance data integration. ✅ Interdisciplinary Collaboration: Bringing together oncology, data science, and bioinformatics to drive progress.
Authors:
Haridimos Kondylakis – Department of Computer Science, University of Crete (UOC), Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH-ICS), Hellenic Digital Health Cluster (HDHC)
Angelina Kouroubali – Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH-ICS), Hellenic Digital Health Cluster (HDHC)
Dimitrios G. Katehakis – Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH-ICS), Hellenic Digital Health Cluster (HDHC).
To cite this paper, please use:
Haridimos Kondylakis, Angelina Kouroubali, Dimitrios G. Katehakis: Advancing Cancer Treatment by Strategically Integrating Multimodal Data: Challenges and Opportunities. Proceedings of the 3rd Workshop on Semantic Interoperability in Data Spaces, Co-located with the European Big Data Value Forum 2024 (EBDVF2024), Budapest, Hungary, October 1, 2024.