ArticleComputational and structural biotechnology journal2022
Addressing the clinical unmet needs in primary Sjögren's Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- A multi-criterion feature integration framework for accurate diagnosis of Sjögren's disease using routine laboratory tests.NPJ digital medicine · 2025Article
- Characteristics of cohort data management systems (CDMS): a scoping review.BMC medical research methodology · 2025Article
- Brazilian Registry of Sjögren's Disease (BRAS): a full picture of Sjögren's disease in Brazil.Advances in rheumatology (London, England) · 2025Article
- Sjögren's Syndrome: Epidemiology, Classification Criteria, Molecular Pathogenesis, Diagnosis, and Treatment.MedComm · 2025Review
- Neuropsychiatric manifestations in systemic lupus erythematosus and Sjogren's disease.Autoimmunity reviews · 2025Review
- Proceedings of the 1st Symposium "Autoimmune Diseases: Clinical Unmet Needs in Systemic Autoimmune Diseases Guide Clinical, Translational and Basic Research".Mediterranean journal of rheumatology · 2024Article
- A graph-learning based model for automatic diagnosis of Sjögren's syndrome on digital pathological images: a multicentre cohort study.Journal of translational medicine · 2024Article
- FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets.Patterns (New York, N.Y.) · 2024Article
Corrections and comments
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Authors and funding
44 authors at 20 institutions in 11 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.