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


ABSTRACT: 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.

SUBMITTER: Pezoulas VC 

PROVIDER: S-EPMC8760551 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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

Pezoulas Vasileios C VC   Goules Andreas A   Kalatzis Fanis F   Chatzis Luke L   Kourou Konstantina D KD   Venetsanopoulou Aliki A   Exarchos Themis P TP   Gandolfo Saviana S   Votis Konstantinos K   Zampeli Evi E   Burmeister Jan J   May Thorsten T   Marcelino Pérez Manuel M   Lishchuk Iryna I   Chondrogiannis Thymios T   Andronikou Vassiliki V   Varvarigou Theodora T   Filipovic Nenad N   Tsiknakis Manolis M   Baldini Chiara C   Bombardieri Michele M   Bootsma Hendrika H   Bowman Simon J SJ   Soyfoo Muhammad Shahnawaz MS   Parisis Dorian D   Delporte Christine C   Devauchelle-Pensec Valérie V   Pers Jacques-Olivier JO   Dörner Thomas T   Bartoloni Elena E   Gerli Roberto R   Giacomelli Roberto R   Jonsson Roland R   Ng Wan-Fai WF   Priori Roberta R   Ramos-Casals Manuel M   Sivils Kathy K   Skopouli Fotini F   Torsten Witte W   A G van Roon Joel J   Xavier Mariette M   De Vita Salvatore S   Tzioufas Athanasios G AG   Fotiadis Dimitrios I DI  

Computational and structural biotechnology journal 20220107


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  ...[more]

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