SPHN RDF Schema applied in international context
Two research teams from France have successfully applied SPHN’s data schema in their research project. Their work highlights that, for certain use cases, knowledge graphs can be more effective than traditional tabular data formats.
29.04.2025
The SPHN RDF Schema, a core component of the SPHN Semantic Interoperability Framework, extends its reach beyond Switzerland's national borders.
Two French research teams have successfully used the SPHN RDF Schema to explore how knowledge graphs can help predict clinical outcomes based on observational data. One team is led by Prof. Adrien Coulet from the National Institute for Research in Digital Science and Technology (Inria, Paris), the other by Dr. Alban Gaignard from l’Unité de recherche de l'institut du thorax, Université de Nantes.
Together, they recently published a scientific paper in which they found that in their case, a graph representation of the data was better suited to predict clinical outcomes than tabular data.
This not only demonstrates the flexibility and reusability of the SPHN Schema but also paves the way for broader adoption in European and global health data initiatives.
Want to learn more?
Join us at the ‘From Technology to Treatment – Advancing Precision Medicine’ conference on 28–29 August 2025 in Zurich, where Prof. Coulet will share insights from their research.
We also invite researchers and institutions interested in applying the SPHN RDF Schema to contact us at dcc@sib.swiss and explore opportunities for collaboration.