Latest AI and machine learning research in rheumatology for healthcare professionals.
BACKGROUND: Early and accurate diagnosis of systemic lupus erythematosus (SLE) and its organ involvement is essential. Previous reviews of machine learning (ML) in SLE combined heterogeneous tasks and validation strategies and may have overinterpreted model performance. OBJECTIVE: This study evaluated the diagnostic performance of ML and deep learning (DL) models for 3 clinically distinct SLE-rela...
BACKGROUND: Differentiating among liver disease entities such as autoimmune liver disease (AILD), drug-induced liver injury (DILI), and chronic hepatitis B (CHB) remains clinically challenging due to overlapping clinical manifestations and nonspecific laboratory findings. Conventional machine learning (ML) approaches rely mainly on structured laboratory data, whereas free-text clinical reports and...
BACKGROUND: Cough hypersensitivity contributes to the heterogeneity of gastroesophageal reflux-induced chronic cough (GERC), but its associated factor...
OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysregulated signaling pathways and high treatment resi...
PURPOSE: The purpose of this study is to develop a fully automated system for determining the optimal time to begin anti-vascular endothelial growth f...
BACKGROUND: Nailfold capillaroscopy is a non-invasive method to visualize altered microcirculation in pediatric rheumatic disease, with potential to a...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...
Rheumatology faces sustained workforce strain, widening access gaps, and escalating administrative burden. Fellowship expansion and integration of adv...
BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...
Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediatin...
Artificial intelligence (AI) is accelerating antimicrobial peptide (AMP) discovery, but prediction-centered workflows often overlook dataset redundanc...
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...
Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodeling and long-term cardiovascular outcomes in childre...
OBJECTIVE: ANA indirect immunofluorescence (IIF) is the reference standard but depends on subjective pattern interpretation. We tested whether artific...
Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...
Alternative splicing is a fundamental biological mechanism that increases protein diversity and regulates critical cellular processes across eukaryote...
The recurring Nipah virus outbreaks and the lack of effective antiviral therapies, emphasize the urgent need for effective therapeutic interventions. ...
Vaccination remains among the most effective public health interventions, but its impact increasingly depends on public trust and a reliable informati...
The adaptive immune receptor repertoire (AIRR) - the collection of an individual's B-cell and T-cell receptors (BCRs and TCRs, respectively) - encodes...
Saliva has emerged as a compelling liquid biopsy for the non-invasive diagnosis and monitoring of both oral and systemic diseases. Secreted by major a...