Rheumatology

Efforts towards a precision medicine approach in juvenile idiopathic arthritis.

Juvenile idiopathic arthritis (JIA) is the commonest group of childhood arthritides. Despite the availability of advanced therapeutics, many children and young people (CYP) with JIA experience disease flares, and in some, chronic joint damage. Tailoring treatment based on unique biological profiles would benefit CYP with JIA given their variable clinical presentation and disease course. To date, b...

An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus.

Infection is a leading cause of mortality in patients with systemic lupus erythematosus (SLE), yet effective tools for early identification of high-risk patients are lacking. This study aimed to develop an explainable machine learning (ML) model to predict in-hospital infection risk among SLE patients. We analyzed adult patients (≥18 years) with SLE (n = 7,833) from three departments using a popul...

Anti-virulence activity of peptide C7-3 and its derivatives against Pseudomonas aeruginosa.

BACKGROUND: Pseudomonas aeruginosa is a highly resistant pathogenic bacterium known for causing infections,particularly in immunocompromised patients....

The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.

UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely ass...

Data-driven optimization of siderophore fermentation by Bacillus altitudinis AS19 and investigation of AS19's antifungal properties against Candida albicans.

Candida albicans is a common opportunistic pathogenic fungus capable of causing severe infections when host immunity is compromised or when the normal...

AI-Empowered Mechanomedicine for Cancer-Related Lymphedema.

Cancer-related lymphedema is a chronic progressive side effect of cancer treatments followed by lymph node dissection or radiotherapy. Clinicians ofte...

A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy.

Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of co...

Integrative Identification of Anti-Photoaging Peptides From Stress-Tolerant Microorganisms via Machine Learning and KEAP1-NRF2 Docking.

Excess reactive oxygen species generated by ultraviolet exposure cause photoaging by degrading collagen and inhibiting its synthesis. This study prese...

Essential Informatics Tools and Computing Infrastructure for Big Data to Advance Artificial Intelligence in Rheumatology.

Rheumatic diseases are chronic, heterogeneous, and longitudinal, and assembling real-world evidence for effectiveness and safety for their study is be...

MIF-MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion.

Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervo...

Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole-Blood Transcriptome in Primary Biliary Cholangitis.

BACKGROUND AND AIMS: Prognostic biomarkers that link disease progression and/or responses to therapeutic interventions in patients with primary biliar...

Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.

OBJECTIVE: This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Disease (CSVD) and investigate its association with v...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.

Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...

Manual federated simulation for multiple sclerosis integrating XGBoost algorithm with SHAP explanation.

Multiple sclerosis (MS) is a chronic autoimmune disorder of the central nervous system, underscoring the importance of early and accurate diagnosis. I...

Boron-Doped Diamond Electrodes for Voltammetric Determination of Major Antibiotic Classes: Electrochemical Mechanisms, Intelligent Analytical Systems, and Critical Perspectives.

This review sort of critically assesses how boron-doped diamond electrodes (BDDEs) are becoming more important for voltammetric determination of major...

Guideline Concordance of Large Language Model Responses to Parent-oriented Guideline Prompts About Pediatric Acute Bacterial Arthritis.

BACKGROUND: Large language models (LLMs) are increasingly used by patients and caregivers to obtain medical information. In pediatric acute bacterial ...

Machine learning models identify prognostic factors in systemic lupus erythematosus patients with epstein-barr virus infection.

OBJECTIVE: To identify poor prognostic factors in Epstein-Barr virus (EBV)-positive systemic lupus erythematosus (SLE) using interpretable machine-lea...

Data-driven endocrine-metabolic phenotypes in young women with polycystic ovary syndrome and associations with cardiometabolic risk markers.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with reproductive dysfunction and increased cardiometabolic risk. Co...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...