The rapid evolution of biomedical research and healthcare technology presents a unique opportunity to transform patient outcomes and scientific discovery through data-driven insights. However, the effective use of biomedical data at scale faces several critical challenges: privacy concerns, the need for robust security, and the complexity of integrating diverse data sources from multiple stakeholders that considers the semantics of the data. This special track is about Semantic Interoperability of Biomedical data and will explore innovative approaches and solutions to address these pressing issues.

Key themes for this track include the application of FAIR (Findable, Accessible, Interoperable, Reusable) principles in biomedical data sharing, ensuring data is widely interoperable while preserving individual privacy. Topics will also cover federated learning and decentralized frameworks as privacy-preserving alternatives to centralized data processing, enabling collaborative machine learning on sensitive datasets across institutions. As the need for data interoperability grows, semantic interoperability and biomedical knowledge graphs become indispensable tools, facilitating the integration of diverse data types into cohesive structures for applied artificial intelligence (AI) and machine learning.

With a focus on collaborative data sharing and ethical practices in AI, this track will foster discussions on secure and privacy-preserving data ecosystems that support cutting-edge biomedical research. Attendees will explore real-world applications, technical standards, and emerging technologies, all aimed at creating sustainable, interoperable systems that drive innovation and deliver new insights into healthcare.

This special track invites researchers, practitioners, and industry experts to engage with the latest developments in privacy, data interoperability, and AI applications in biomedical science. Together, we will build a foundation for responsible data sharing that accelerates discovery while upholding the highest standards of security and ethics.

Topics of interest

Example areas include the application of semantics to:

  • Biomedical data and knowledge interoperability
  • Interoperability and privacy concerns
  • Security and biomedical data sharing
  • FAIR data in medical systems with special emphasis on interoperability
  • Open biomedical data 
  • Biomedical data standards and interoperability
  • Collaborating on biomedical data
  • Federated machine learning with biomedical data 
  • Governance of biomedical data
  • Real-time distribution of biomedical data
  • Decentralized biomedical data
  • Sharing biomedical data
  • Biomedical knowledge graphs and ontologies 
  • Semantic interoperability
  • Neuro-symbolic AI in biomedicine

Expected types of contributions

Authors are invited to submit original, previously unpublished research papers. Papers should be written in English strictly following IEEE two-column format. For formatting instructions and templates see the IEEE Web page at https://www.ieee.org/conferences/publishing/templates.html. Papers can be submitted by means of EasyChair after the submission page has been released (see conference web page).

The following types of submissions are accepted:

  • Full research papers and experience papers with a maximum length of 6 pages, including references and appendices. It is possible to extend the paper length up to 8 pages by paying for each extra page.
  • Short papers and position papers with a minimum length of 3 pages and a maximum length of 4 pages, including references and appendices. It is not possible to extend the length of short papers.

Organizers

  • Dr. Jose Emilio Labra Gayo, University of Oviedo, Spain
  • Dr. Lina F. Soualmia, Normandie Université, Univ. Rouen, France
  • Dr. Christian Zirpins, Karlsruhe University of Applied Sciences, Germany

Program Committee

  • Chang Sun, Maastricht University Institute of Data Science, The Netherlands
  • Daniel Fernández Álvarez, University of Oviedo, Spain
  • Daniel Hernández, University of Stuttgart, Germany
  • Deepak Unni, SIB Swiss Institute of Bioinformatics, Switzerland
  • Seyed Amir Hosseini Beghaeiraveri, University of Edinburgh, United Kingdom
  • Tooba Abbasi Daloii, Univ. of Maastricht, The Netherlands
  • Yojana Gadiya, Fraunhofer Institute for Translational Medicine and Pharmacology, Germany

Contact

For more information, please visit the IEEE CBMS 2025 website at https://2025.cbms-conference.org/ or contact the track chairs at …

Call for papers

You can download Call for papers here.