Rheumatology

Development of a LASSO-based machine learning model for relapse prediction in lupus nephritis.

OBJECTIVE: To identify the predictors of renal relapse in patients with lupus nephritis (LN) and develop a predictive model. METHODS: The patients with LN who received renal biopsies from 2005 to 2024 in Xijing Hospital were enrolled. This study was designed as a cohort study. Clinical and serological characteristics at the time of renal biopsy, nephritis histology, the duration to remission and t...

Identification of a 10-protein plasma signature for preclinical gout risk beyond serum urate: a robustness-first proteomic study in 33,147 normouricaemic individuals.

BACKGROUND: Gout risk assessment is currently reactive, relying on hyperuricaemia. However, a significant clinical gap exists for individuals who develop gout despite maintaining "normal" serum urate levels. We aimed to identify a plasma proteomic signature that defines a susceptibility state for gout years before clinical onset, specifically within individuals who are normouricaemic at baseline. ...

Identification of Diagnostic Biomarkers Among Metabolism-related Genes in Rheumatoid Arthritis: Insights into Immune Landscape and Molecular Subtype Characterization.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction. Metabolic reprogramming and im...

Annexin A2 as a Therapeutic Target of Artemisiae Scopariae Herba-derived Quercetin in Preventing Malignant Progression from Primary Sclerosing Cholangitis to Cholangiocarcinoma: An Integrative Study.

ETHNOPHARMACOLOGICAL RELEVANCE: Artemisiae Scopariae Herba (ASH) is traditionally used to treat cholestatic liver diseases and exhibits anti-tumour po...

Interpretability of multimodal neural networks for prediction of visual acuity in patients with branch retinal vein occlusion.

Branch retinal vein occlusion (BRVO) can cause persistent visual impairment, and predicting long-term best-corrected visual acuity (BCVA) after anti-v...

Clinically accessible eye-tracking in thyroid-associated ophthalmopathy: exploratory classification modeling and gaze allocation to disease-related periocular images.

BACKGROUND: Thyroid-associated ophthalmopathy (TAO) is an autoimmune orbital disease that may cause ocular motility abnormalities, altered periocular ...

Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.

BACKGROUND International guidelines recommend early screening based on targeted risk factors to identify thyroid disease during pregnancy. The complex...

Condition-Associated Pattern Extraction and Recovery From Multi-Condition Single-Cell RNA-seq Data With CAPER.

A central challenge in multi-condition single-cell RNA sequencing (scRNA-seq) data analysis is the disentanglement of true biological signals from unw...

From in silico screening to mechanism: computational advances in developing anti-allergic agents for food allergy.

Food allergy represents a significant global health concern with considerable socioeconomic impacts. While natural bioactive components offer promisin...

Deep Learning-based Quantification of Knee Effusion-Synovitis Volume on MRI - Technique Development and Validation.

OBJECTIVE: To develop and validate a deep learning (DL) model for automatic quantification of knee effusion-synovitis volume (ESV) on MRI, assess corr...

A blood transcriptomic signature anchored to central nervous system pathology enables noninvasive detection of multiple sclerosis.

BACKGROUND: Multiple sclerosis (MS) lacks noninvasive biomarkers anchored to central nervous system (CNS) pathology. This study aimed to identify a bl...

Rational design of active pharmaceutical ingredient-based co-assembled nanoparticles for cancer immunotherapy.

Combination strategy is crucial for enhancing cancer therapeutic efficacy, but co-delivery of multiple active pharmaceutical ingredients (APIs) remain...

Stem cell-derived extracellular vesicles for rare diseases: A clinical‑bottleneck‑to‑mechanism framework for translation.

Rare diseases impose a disproportionate clinical burden, and yet therapeutic progress is hindered by small cohorts, biological heterogeneity, and limi...

Spatially interpretable artificial intelligence framework to tailored neoadjuvant dual HER2 blockade in HER2-positive breast cancer.

Neoadjuvant dual HER2 blockade with trastuzumab and pertuzumab plus chemotherapy represents the current standard-of-care for HER2-positive breast canc...

Performance of Zero-Shot Classifiers for Categorizing RCT Abstracts by Intervention Type: Validation Study.

BACKGROUND: Artificial intelligence has gained relevance due to its potential to reduce the workload in evidence synthesis or bibliometric projects. W...

A recyclable, mechanically robust, and anti-freezing chitosan/polyvinyl alcohol/polyaniline conductive hydrogel for multifunctional sensing application.

Conductive hydrogels have demonstrated fascinating application potential in flexible electronics. However, conductive hydrogels often exhibit poor mec...

Single-cell transcriptomic analysis reveals the T lymphocyte microenvironment and identifies HOPX as a hub gene in membranous nephropathy.

BACKGROUND: Membranous nephropathy (MN) is an autoimmune disease characterized by immune complex deposition and progressive renal function impairment....

Systems serology identifies FcR-related autoantibody signatures and functions for Sjögren's syndrome.

Sjögren's Syndrome (SjS) has historically been associated with classical anti-Ro60/SSA, Ro52/SSA and La/SSB, however they are lacking in one third of ...

Proteomic and machine learning analysis predicts treatment response signatures in Myasthenia Gravis.

BACKGROUND: Myasthenia gravis (MG) is a prototypical antibody-mediated autoimmune disease with variable treatment responses with a need for biomarkers...

High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images.

Autoimmune Hepatitis (AIH) is a liver disease with a wide clinical spectrum, driven by an abnormal immune response against the liver parenchyma. Chall...