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

Pezoulas, V.C.; Goules, A.; Kalatzis, F.; Chatzis, L.; Kourou, K.D.; Venetsanopoulou, A.; Exarchos, T.P.; 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, S.J.; Shahnawaz Soyfoo, M.; Parisis, D.; Delporte, C.; Devauchelle-Pensec, V.; Pers, J.-O.; Dörner, T.; Bartoloni, E.; Gerli, R.; Giacomelli, R.; Jonsson, R.; Ng, W.-F.; Priori, R.; Ramos-Casals, M.; Sivils, K.; Skopouli, F.; Torsten, W.; A. G. van Roon, J.; Xavier, M.; De Vita, S.; Tzioufas, A.G.; Fotiadis, D.I.

doi:10.1016/j.csbj.2022.01.002

Μονάδα:

Ερευνητικό υλικό ΕΚΠΑ

Τίτλος:

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

Γλώσσες Τεκμηρίου:

Αγγλικά

Περίληψη:

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. © 2022 The Author(s)

Έτος δημοσίευσης:

2022

Συγγραφείς:

Pezoulas, V.C.
Goules, A.
Kalatzis, F.
Chatzis, L.
Kourou, K.D.
Venetsanopoulou, A.
Exarchos, T.P.
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, S.J.
Shahnawaz Soyfoo, M.
Parisis, D.
Delporte, C.
Devauchelle-Pensec, V.
Pers, J.-O.
Dörner, T.
Bartoloni, E.
Gerli, R.
Giacomelli, R.
Jonsson, R.
Ng, W.-F.
Priori, R.
Ramos-Casals, M.
Sivils, K.
Skopouli, F.
Torsten, W.
A. G. van Roon, J.
Xavier, M.
De Vita, S.
Tzioufas, A.G.
Fotiadis, D.I.

Περιοδικό:

Computational and Structural Biotechnology Journal

Εκδότης:

Elsevier B.V.

Τόμος:

Σελίδες:

471-484

Λέξεις-κλειδιά:

Classification (of information); Data Analytics; Oncology, Classification models; Data curation; Data harmonization; Data Sharing; Federated AI; Harmonisation; Lymphoma classification; Lymphomagenesis; Primary sjogren syndrome; Sharing analysis, Biomarkers

Επίσημο URL (Εκδότης):

https://doi.org/10.1016/j.csbj.2022.01.002

DOI:

10.1016/j.csbj.2022.01.002

Μόνιμη διεύθυνση:

https://pergamos.lib.uoa.gr/uoa/dl/object/3070794

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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