Artificial intelligence in rheumatoid arthritis: current status and future perspectives: a state-of-the-art review

S Momtazmanesh, A Nowroozi, N Rezaei - Rheumatology and Therapy, 2022 - Springer
Investigation of the potential applications of artificial intelligence (AI), including machine
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …

Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions

J Kedra, T Davergne, B Braithwaite… - Expert Review of …, 2021 - Taylor & Francis
Introduction Although the management of rheumatoid arthritis (RA) has improved in major
way over the last decades, this disease still leads to an important burden for patients and …

Machine learning model based on insulin resistance metagenes underpins genetic basis of type 2 diabetes

A Saxena, N Mathur, P Pathak, P Tiwari, SK Mathur - Biomolecules, 2023 - mdpi.com
Insulin resistance (IR) is considered the precursor and the key pathophysiological
mechanism of type 2 diabetes (T2D) and metabolic syndrome (MetS). However, the …

Co-expression analysis to identify key modules and hub genes associated with COVID-19 in platelets

AB Alarabi, A Mohsen, K Mizuguchi, FZ Alshbool… - BMC Medical …, 2022 - Springer
Abstract Corona virus disease 2019 (COVID-19) increases the risk of cardiovascular
occlusive/thrombotic events and is linked to poor outcomes. The underlying …

Artificial intelligence in rheumatoid arthritis: potential applications and future implications

VJ Gilvaz, AM Reginato - Frontiers in Medicine, 2023 - frontiersin.org
The widespread adoption of digital health records, coupled with the rise of advanced
diagnostic testing, has resulted in an explosion of patient data, comparable in scope to …

Advancing precision rheumatology: applications of machine learning for rheumatoid arthritis management

Y Shi, M Zhou, C Chang, P Jiang, K Wei… - Frontiers in …, 2024 - frontiersin.org
Rheumatoid arthritis (RA) is an autoimmune disease causing progressive joint damage.
Early diagnosis and treatment is critical, but remains challenging due to RA complexity and …

Integrative multiomics and in silico analysis revealed the role of ARHGEF1 and its screened antagonist in mild and severe COVID‐19 patients

P Jha, P Singh, S Arora, A Sultan… - Journal of cellular …, 2022 - Wiley Online Library
COVID‐19 is a sneaking deadly disease caused by severe acute respiratory syndrome
coronavirus 2 (SARS‐CoV‐2). The rapid increase in the number of infected patients …

Real-world data in rheumatoid arthritis: patient similarity networks as a tool for clinical evaluation of disease activity

O Janca, E Ochodkova, E Kriegova, P Horak… - Applied Network …, 2023 - Springer
Hospital databases provide complex data on individual patients, which can be analysed to
discover patterns and relationships. This can provide insight into medicine that cannot be …

Identifying Key Genes and Functionally Enriched Pathways in Osteoporotic Patients by Weighted Gene Co-Expression Network Analysis

P Fan, X Feng, N Hu, D Pu, L He - Biochemical Genetics, 2024 - Springer
Osteoporosis is a systemic bone disease characterized by low bone mineral density and
bone microstructure damage, resulting in increased bone fragility and fracture risk. The …

应用基因集富集分析和加权基因共表达网络分析方法分析类风湿关节炎的枢纽基因及意义

孙玉敏, 宋洁昕, 杨艳梅, 杨栋梁 - 中国组织工程研究, 2023 - cjter.com
应用基因集富集分析和加权基因共表达网络分析方法分析类风湿关节炎的枢纽基因及意义 Page
1 Chinese Journal of Tissue Engineering Research|Vol 27|No.11|April 2023|1787 中国组织 …