Latest AI and machine learning research in rheumatology for healthcare professionals.
Dysregulated lipid metabolism drives atherosclerosis (AS). Yacon, an Andean lipid-modulating tuber, exerts anti-AS potential, but mechanisms remain unclear. We integrated network pharmacology, machine learning, single-cell RNA sequencing (scRNA-seq), and in vivo validation to explore its anti-AS effects and targets. Active constituents and targets were curated from literature, TCMSP, and SwissTarg...
The stabilization of 4Ļ-electron systems remains a fundamental challenge in chemistry, stemming from their intrinsic antiaromaticity and thermodynamic instability as dictated by Hückel's rule. A recent experimental study has demonstrated that rational molecular design using N-heterocyclic carbenes (NHCs) can surmount these limitations by inducing aromaticity. However, the issue of T1 aromaticity i...
Cyclosporine A (CsA) functions as a calcineurin inhibitor that perturbs T cell activation via calcineurin-nuclear factor of activated T cells (CaN-NFA...
INTRODUCTION: Readily available predictive biomarkers for immune checkpoint inhibitor (ICI) response in advanced melanoma are limited. This study eval...
Defining the maturity of long-lived antibody-secreting cells (ASCs) is important for vaccine optimization and research into autoimmune diseases, but c...
Since uric acid (UA) serves as a critical biomarker for diagnosing metabolic disorders such as gout and hyperuricemia, developing noninvasive optical ...
Autoimmune diseases (AIDs) affect 5-10% of the global population, yet effective diagnosis and treatment remain challenging due to their complexity and...
We systematically map the evidence on optical coherence tomography (OCT) biomarkers-mainly disorganization of the retinal inner layers (DRIL), disrupt...
INTRODUCTION: Fibromyalgia (FM) is a chronic condition characterized by widespread pain and cognitive dysfunction, with pharmacological treatments off...
Cancer remains a major public health challenge driven by complex interactions among sociodemographic, behavioral, clinical, and environmental factors....
While Large Language Models (LLMs) hold great potential for clinical applications, their use is limited by concerns regarding data privacy, high compu...
Large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG) can enhance clinical decision support and triage. However, semantic ...
We present a novel LLM-based approach for medical concept extraction that combines multiple anti-hallucination strategies. Our Streamlit web applicati...
BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combin...
BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched for major adverse cardiovascular events (MACE), a h...
Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cel...
Plasma extracellular vesicles (EVs) are considered excellent sources for biomarker discovery since they carry signatures of their cellular origin and ...
BackgroundThe clinical heterogeneity of systemic lupus erythematosus exceeds the resolution of conventional disease activity instruments. Artificial i...
Pemphigus vulgaris (PV) is a rare autoimmune blistering disease mediated by pathogenic autoantibodies. Although both HLA and non-HLA loci contribute t...
BACKGROUND: Antibodies play a critical role in immune defense, with their antigen specificity primarily governed by the unique sequences of their heav...