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A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
Evolving insights into the cellular and molecular pathogenesis of fibrosis in systemic sclerosis
Systemic sclerosis (SSc, scleroderma) is a complex multisystem disease characterized by
autoimmunity, vasculopathy, and most notably, fibrosis. Multiple lines of evidence …
autoimmunity, vasculopathy, and most notably, fibrosis. Multiple lines of evidence …
Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives
Y Yang, Y Liu, Y Chen, D Luo, K Xu… - Frontiers in …, 2024 - frontiersin.org
Autoimmune rheumatic diseases (ARD) present a significant global health challenge
characterized by a rising prevalence. These highly heterogeneous diseases involve …
characterized by a rising prevalence. These highly heterogeneous diseases involve …
Machine learning in rheumatic diseases
With advances in information technology, the demand for using data science to enhance
healthcare and disease management is rapidly increasing. Among these technologies …
healthcare and disease management is rapidly increasing. Among these technologies …
Existing and novel biomarkers for precision medicine in systemic sclerosis
PJ Wermuth, S Piera-Velazquez… - Nature Reviews …, 2018 - nature.com
The discovery and validation of biomarkers resulting from technological advances in the
analysis of genomic, transcriptomic, lipidomic and metabolomic pathways involved in the …
analysis of genomic, transcriptomic, lipidomic and metabolomic pathways involved in the …
Current and future perspectives on management of systemic sclerosis-associated interstitial lung disease
O Distler, ER Volkmann… - Expert review of …, 2019 - Taylor & Francis
ABSTRACT Introduction: Systemic sclerosis (SSc) is a rare and complex connective tissue
disease characterized by fibrosis of the skin and internal organs. Interstitial lung disease …
disease characterized by fibrosis of the skin and internal organs. Interstitial lung disease …
[HTML][HTML] The use and utility of machine learning in achieving precision medicine in systemic sclerosis: a narrative review
Background: Systemic sclerosis (SSc) is a rare connective tissue disease that can affect
different organs and has extremely heterogenous presentations. This complexity makes it …
different organs and has extremely heterogenous presentations. This complexity makes it …
Perspective to precision medicine in scleroderma
Systemic sclerosis (SSc) is a rare and heterogeneous disease with no relevant
environmental trigger or significant responsible gene. It has been and will continue to be …
environmental trigger or significant responsible gene. It has been and will continue to be …
TGFB1-mediated gliosis in multiple sclerosis spinal cords is favored by the regionalized expression of HOXA5 and the age-dependent decline in androgen receptor …
In multiple sclerosis (MS) patients with a progressive form of the disease, spinal cord (SC)
functions slowly deteriorate beyond age 40. We previously showed that in the SC of these …
functions slowly deteriorate beyond age 40. We previously showed that in the SC of these …
Systematic analysis of the literature in search of defining systemic sclerosis subsets
T Nevskaya, JE Pope, MA Turk, J Shu… - The Journal of …, 2021 - jrheum.org
Objective Systemic sclerosis (SSc) is a multisystem disease with heterogeneity in
presentation and prognosis. An international collaboration to develop new SSc subset …
presentation and prognosis. An international collaboration to develop new SSc subset …