Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts

• DOI: 10.1016/j.csbj.2022.01.002
• Publication Date: 2022-01-07T08:09:46Z
• Authors: Vasileios C. Pezo...; Andreas Goules; Fanis Kalatzis; Luke Chatzis; Konstantina D. Ko...; Aliki Venetsanopo...; Themis P. Exarchos; Saviana Gandolfo; Konstantinos Votis; Evi Zampeli; Jan Burmeister; Thorsten May; Manuel Marcelino ...; Iryna Lishchuk; Thymios Chondrogi...; Vassiliki Andronikou; Theodora Varvarigou; Nenad Filipovic; Manolis Tsiknakis; Chiara Baldini; Michele Bombardieri; Hendrika Bootsma; Simon J. Bowman; Muhammad Shahnawa...; Dorian Parisis; Christine Delporte; Valérie Devauchel...; Jacques-Olivier Pers; Thomas Dörner; Elena Bartoloni; Roberto Gerli; Roberto Giacomelli; Roland Jonsson; Wan-Fai Ng; Roberta Priori; Manuel Ramos-Casals; Kathy Sivils; Fotini Skopouli; Witte Torsten; Joel A. G. van Roon; Mariette Xavier; Salvatore De Vita; Athanasios G. Tzi...; Dimitrios I. Foti...
• Keywords: Harmonization; Data Sharing; Identification

For many decades, the clinical unmet needs of primary Sjögren's Syndrome (pSS) have been left unresolved due to rareness disease and complexity underlying pathogenic mechanisms, including pSS-associated lymphomagenesis process. Here, we present HarmonicSS cloud-computing exemplar which offers beyond state-of-the-art data analytics services address pSS needs, development lymphoma classification models identification biomarkers for lymphomagenesis. The users platform able successfully interlink, curate, harmonize 21 regional, national, international European cohorts 7,551 patients with respect ethical legal issues sharing. Federated AI algorithms were trained across harmonized databases, reduced execution time complexity, yielding robust 85% accuracy, 81.25% sensitivity, 85.4% specificity along 5 development. To our knowledge, this is first GDPR compliant that provides federated needs.