[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

[PDF][PDF] Seronegative rheumatoid arthritis: one year in review 2023

L De Stefano, B D'Onofrio, S Gandolfo… - Clin Exp …, 2023 - clinexprheumatol.org
In the past 20 years, earlier diagnosis and more intensive management have considerably
improved the prognosis of rheumatoid arthritis (RA), with milder disease course achieved in …

Tailoring the treatment of inflammatory rheumatic diseases by a better stratification and characterization of the clinical patient heterogeneity. Findings from a …

P Ruscitti, Y Allanore, C Baldini, G Barilaro… - Autoimmunity …, 2024 - Elsevier
Inflammatory rheumatic diseases are different pathologic conditions associated with a
deregulated immune response, codified along a spectrum of disorders, with …

Autoantibody-negative rheumatoid arthritis: still a challenge for the rheumatologist

S Bugatti, L De Stefano, S Gandolfo, F Ciccia… - The Lancet …, 2023 - thelancet.com
Increased research over the past 30 years has greatly improved the understanding of the
pathophysiological mechanisms and clinical aspects of autoantibody-positive rheumatoid …

[HTML][HTML] Ревматоидный артрит как клинико-иммунологический синдром: фокус на серонегативный субтип заболевания

ЕЛ Насонов, АС Авдеева… - Научно-практическая …, 2023 - cyberleninka.ru
Ревматоидный артрит (РА)-наиболее частое иммуновоспалительное (аутоиммунное)
ревматическое заболевание (ИВРЗ), проявляющийся хроническим эрозивным …

Machine learning identifies a profile of inadequate responder to methotrexate in rheumatoid arthritis

J Duquesne, V Bouget, PH Cournede, B Fautrel… - …, 2023 - academic.oup.com
Objectives Around 30% of patients with RA have an inadequate response to MTX. We aimed
to use routine clinical and biological data to build machine learning models predicting …

Rheumatoid Arthritis Has Won the Battle but Not the War: How Many Joints Will We Save Tomorrow?

VV Oberemok, O Andreeva, K Laikova, E Alieva… - Medicina, 2023 - mdpi.com
Rheumatoid arthritis refers to joint diseases of unclear etiology whose final stages can lead
to unbearable pain and complete immobility of the affected joints. As one of the most widely …

Novel insights into the management of rheumatoid arthritis: one year in review 2023

C Garaffoni, A Adinolfi, A Bortoluzzi… - Clinical and …, 2023 - sfera.unife.it
New evidence from 2022 slightly changed some perspectives for rheumatoid arthritis (RA)
management. Real-world data on the efficacy and safety of disease-modifying anti …

[HTML][HTML] Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning

Z Guo, Y Ma, Y Wang, H Xiang, H Cui, Z Fan… - Aging (Albany …, 2023 - ncbi.nlm.nih.gov
Rheumatoid arthritis (RA) causes irreversible joint damage, but the pathogenesis is
unknown. Therefore, it is crucial to identify diagnostic biomarkers of RA metabolism-related …

MACHINE LEARNING IN THE PREDICTION OF TREATMENT RESPONSE IN RHEUMATOID ARTHRITIS: A SYSTEMATIC REVIEW: serum uric acid in anti-MDA5 …

H Xie, J Fan - Seminars in Arthritis and Rheumatism, 2024 - Elsevier
Objective This study aimed to investigate the current status and performance of machine
learning (ML) approaches in providing reproducible treatment response predictions …