Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 471-484 |
| Seitenumfang | 14 |
| Fachzeitschrift | Computational and structural biotechnology journal |
| Jahrgang | 20 |
| Frühes Online-Datum | 7 Jan. 2022 |
| Publikationsstatus | Veröffentlicht - Jan. 2022 |
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.
ASJC Scopus Sachgebiete
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biotechnologie
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biophysik
- Biochemie, Genetik und Molekularbiologie (insg.)
- Strukturelle Biologie
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biochemie
- Biochemie, Genetik und Molekularbiologie (insg.)
- Genetik
- Informatik (insg.)
- Angewandte Informatik
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in: Computational and structural biotechnology journal, Jahrgang 20, 01.2022, S. 471-484.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Addressing the clinical unmet needs in primary Sjögren's Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts
AU - Pezoulas, Vasileios C.
AU - Goules, Andreas
AU - Kalatzis, Fanis
AU - Chatzis, Luke
AU - Kourou, Konstantina D.
AU - Venetsanopoulou, Aliki
AU - Exarchos, Themis P.
AU - Gandolfo, Saviana
AU - Votis, Konstantinos
AU - Zampeli, Evi
AU - Burmeister, Jan
AU - May, Thorsten
AU - Marcelino Pérez, Manuel
AU - Lishchuk, Iryna
AU - Chondrogiannis, Thymios
AU - Andronikou, Vassiliki
AU - Varvarigou, Theodora
AU - Filipovic, Nenad
AU - Tsiknakis, Manolis
AU - Baldini, Chiara
AU - Bombardieri, Michele
AU - Bootsma, Hendrika
AU - Bowman, Simon J.
AU - Shahnawaz Soyfoo, Muhammad
AU - Parisis, Dorian
AU - Delporte, Christine
AU - Devauchelle-Pensec, Valérie
AU - Pers, Jacques-Olivier
AU - Dörner, Thomas
AU - Bartoloni, Elena
AU - Gerli, Roberto
AU - Giacomelli, Roberto
AU - Jonsson, Roland
AU - Ng, Wan-Fai
AU - Priori, Roberta
AU - Ramos-Casals, Manuel
AU - Sivils, Kathy
AU - Skopouli, Fotini
AU - Torsten, Witte
AU - A. G. van Roon, Joel
AU - Xavier, Mariette
AU - De Vita, Salvatore
AU - Tzioufas, Athanasios G.
AU - Fotiadis, Dimitrios I.
N1 - Funding Information: This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 731944 and from the Swiss State Secretariat for Education, Research and Innovation SERI under grant agreement 16.0210 (HarmonicSS - HARMONIzation and integrative analysis of regional, national and international Cohorts on primary Sjögren's Syndrome (pSS) towards improved stratification, treatment and health policy making). SJ Bowman's salary is part funded by the Birmingham NIHR Biomedical Research Centre.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Biomarkers
KW - Data curation
KW - Data harmonization
KW - Data sharing
KW - Federated AI
KW - Lymphoma classification
KW - Primary Sjögren's syndrome
UR - http://www.scopus.com/inward/record.url?scp=85122610206&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2022.01.002
DO - 10.1016/j.csbj.2022.01.002
M3 - Article
AN - SCOPUS:85122610206
VL - 20
SP - 471
EP - 484
JO - Computational and structural biotechnology journal
JF - Computational and structural biotechnology journal
SN - 2001-0370
ER -