Peer-Reviewed Publication
Methods Inf Med2026September 11, 2026Journal Article
Privacy-Preserving Linkage of Distributed Biological, Clinical, and Imaging Data Supporting Artificial Intelligence in Pediatric Oncology.
Dieter Hayn1,2, Martin Baumgartner1, Karl Kreiner1, Emanuel Sandner1, Bernhard Jammerbund1, Martin Schalling3, Ulrike Poetschger3, Vanessa Duester3, Blanca Martinez de Las Heras4, Adela Cañete Nieto4, Ana Jiménez-Pastor5, Luis Martí-Bonmatí6, Ruth Ladenstein3, Günter Schreier1,2
1AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Digital Health Information Systems, Styria, Austria, Graz.
2Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Styria, Austria, Graz.
3St. Anna Children's Cancer Research Institute (CCRI), Austria, Vienna.
4La Fe University and Polytechnic Hospital, Paediatric Haemato-oncology Unit, La Fe Health Research Institute (IIS La Fe), Spain, Valencia.
5Quantitative Imaging Biomarkers in Medicine, QUIBIM, Spain, Valencia.
6La Fe University and Polytechnic Hospital & Biomedical Imaging Research Group, Department of Medical Imaging, Spain, Valencia.
Abstract
BACKGROUND: Cancer remains the leading cause of disease-related mortality in children over the age of one in Europe, with over 35,000 new pediatric cases and more than 6,000 deaths annually. Due to the rarity of pediatric cancers, clinical trial protocols often substitute for formal treatment guidelines, resulting in many children being enrolled in multiple trials, with biological samples and geno…
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