Rheumatology

Deciphering the molecular landscape of Sjögren's disease, mucosa-associated lymphoid tissue lymphoma, and thyroid cancer: unraveling the complexities of disease mechanisms and diagnostic biomarkers.

BACKGROUND: Sjögren's disease (SjD), mucosa-associated lymphoid tissue lymphoma (MALT lymphoma), and...

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatm...

Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren's Syndrome.

BACKGROUND: Sjögren's syndrome (SS) is a chronic autoimmune disorder characterized by significant di...

Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling.

Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct ...

Machine learning and multi-omics integration identifies immunological predictors and mechanistic insights in autoimmune encephalitis.

OBJECTIVE: To develop an interpretable prognostic prediction model for autoimmune encephalitis (AE) ...

A research on applying the diffusion model algorithm for Infrared and Raman spectroscopy data augmentation to improve the accuracy of diseases.

In recent years, Raman and Infrared spectroscopy have become important tools in disease diagnosis du...

Machine learning-based identification of factors associated with spontaneous abortion in patients with Systemic lupus erythematosus (SLE): Insights from the Egyptian College of Rheumatology (ECR)-SLE cohort.

BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and...

An old disease, a new linguistic challenge for large language models: patient education on psoriasis and psoriatic arthritis in an underrepresented medical language.

OBJECTIVE: Large Language Models (LLMs) are increasingly applied to patient education, yet their per...

Reconnecting new tetrahydrobenzothieno-4-pyrimidine amides as potent PIM-1 kinase inhibitors via an integrated ligand, machine learning model and structure based scaffold hopping: In vitro anti-tumor investigations.

PIM1 has been known to be one of the prolific molecular target in the discovery of new potential ant...

Markers predicting lymphoma development in Sjögren disease: current status and future perspectives.

We aim to present recent advancements in predictive markers for lymphomagenesis in SjD, concisely or...

Machine learning reveals sex-biased platelet-associated molecular signatures in systemic lupus erythematosus.

OBJECTIVES: Autoimmune diseases (ADs) demonstrate a higher prevalence in women than men. Systemic Lu...

Identification and validation of key autophagy-related genes in Lupus nephritis.

OBJECTIVES: Lupus nephritis (LN) is one of the most common complications of systemic lupus erythemat...

Aucklandia lappa, Vladimiria souliei, and Inula helenium: A comprehensive review on the ethnomedicines, phytochemicals, quality control and pharmacology of three confusable Muxiang varieties (2015-2025).

ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (...

Leveraging Interpretable AI for Deciphering Signature Histopathologic Patterns.

BACKGROUND: Leukocytoclastic vasculitis (LCV) and microvascular occlusion (MVO) are distinct histopa...

Research progress and clinical utility of multi-parameter orbital MRI in thyroid-associated ophthalmopathy.

Thyroid-associated ophthalmopathy (TAO), the most common orbital disease in adults, is a specific au...

The Role of Artificial Intelligence in Diagnosing and Monitoring Autoimmune Diseases: Can It Reduce the Disease Burden.

From Nutritional Epidemiology to Clinical Translation: Machine Learning Uncovers Antioxidant-Driven Prevention Strategies for Mitigating Cardiovascular-Arthritis Multimorbidity.

BACKGROUND: The aim of this study was to construct a machine learning (ML) model to predict the effe...

HERC5, IFI6, IFIT3, and OASL as potential diagnostic biomarkers for systemic lupus erythematosus: an integrated bioinformatics, machine learning and clinical validation.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disorder causing mul...

HGAlign: Biologically preserving batch correction and classification for metabolomics via heterogeneous graph alignment.

Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS) is a powerful tool for prof...

Exploring Patients' Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial.

OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety w...

Identification of alkaline phosphatase as a putative biomarker of anti-NGF treatment-associated arthropathies: Machine learning-assisted analyses of clinical trial data.

OBJECTIVE: Nerve growth factor (NGF) inhibitors have been shown to provide pain relief in patients w...