Addressing the clinical unmet needs in primary Sjögren's Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts.
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Author
Pezoulas, Vasileios CGoules, Andreas
Kalatzis, Fanis
Chatzis, Luke
Kourou, Konstantina D
Venetsanopoulou, Aliki
Exarchos, Themis P
Gandolfo, Saviana
Votis, Konstantinos
Zampeli, Evi
Burmeister, Jan
May, Thorsten
Marcelino Pérez, Manuel
Lishchuk, Iryna
Chondrogiannis, Thymios
Andronikou, Vassiliki
Varvarigou, Theodora
Filipovic, Nenad
Tsiknakis, Manolis
Baldini, Chiara
Bombardieri, Michele
Bootsma, Hendrika
Bowman, Simon J
Soyfoo, Muhammad Shahnawaz
Parisis, Dorian
Delporte, Christine
Devauchelle-Pensec, Valérie
Pers, Jacques-Olivier
Dörner, Thomas
Bartoloni, Elena
Gerli, Roberto
Giacomelli, Roberto
Jonsson, Roland
Ng, Wan-Fai
Priori, Roberta
Ramos-Casals, Manuel
Sivils, Kathy
Skopouli, Fotini
Torsten, Witte
A G van Roon, Joel
Xavier, Mariette
De Vita, Salvatore
Tzioufas, Athanasios G
Fotiadis, Dimitrios I
Publication date
2022-01-07Subject
Rheumatology
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For many decades, the clinical unmet needs of primary Sjögren's Syndrome (pSS) have been left unresolved due to the rareness of the disease and the complexity of the underlying pathogenic mechanisms, including the pSS-associated lymphomagenesis process. Here, we present the HarmonicSS cloud-computing exemplar which offers beyond the state-of-the-art data analytics services to address the pSS clinical unmet needs, including the development of lymphoma classification models and the identification of biomarkers for lymphomagenesis. The users of the platform have been able to successfully interlink, curate, and harmonize 21 regional, national, and international European cohorts of 7,551 pSS patients with respect to the ethical and legal issues for data sharing. Federated AI algorithms were trained across the harmonized databases, with reduced execution time complexity, yielding robust lymphoma classification models with 85% accuracy, 81.25% sensitivity, 85.4% specificity along with 5 biomarkers for lymphoma development. To our knowledge, this is the first GDPR compliant platform that provides federated AI services to address the pSS clinical unmet needs.Citation
Pezoulas VC, Goules A, Kalatzis F, Chatzis L, Kourou KD, Venetsanopoulou A, Exarchos TP, Gandolfo S, Votis K, Zampeli E, Burmeister J, May T, Marcelino Pérez M, Lishchuk I, Chondrogiannis T, Andronikou V, Varvarigou T, Filipovic N, Tsiknakis M, Baldini C, Bombardieri M, Bootsma H, Bowman SJ, Soyfoo MS, Parisis D, Delporte C, Devauchelle-Pensec V, Pers JO, Dörner T, Bartoloni E, Gerli R, Giacomelli R, Jonsson R, Ng WF, Priori R, Ramos-Casals M, Sivils K, Skopouli F, Torsten W, A G van Roon J, Xavier M, De Vita S, Tzioufas AG, Fotiadis DI. Addressing the clinical unmet needs in primary Sjögren's Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts. Comput Struct Biotechnol J. 2022 Jan 7;20:471-484. doi: 10.1016/j.csbj.2022.01.002Type
ArticleAdditional Links
http://www.sciencedirect.com/science/journal/20010370PMID
35070169Publisher
Elsevierae974a485f413a2113503eed53cd6c53
10.1016/j.csbj.2022.01.002