Rheumatology

Arthritis

Latest AI and machine learning research in arthritis for healthcare professionals.

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AI in Orthopedic Research: A Comprehensive Review.

Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhanci...

Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.

PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a ...

Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort.

BACKGROUND: In light of global population aging and the increasing prevalence of Rheumatoid Arthriti...

A novel Harris Hawks Optimization-based clustering method for elucidating genetic associations in osteoarthritis and Diverse Cancer Types.

Considering the high incidence of osteoarthritis (OA), especially of the knee and hip, this study ex...

The role of mathematical models in prediction of osteoarthritis development.

In the paper we presented the review of mathematical and numerical models of osteoarthritis (OA). As...

A Modular, Mechanical Knee Model for the Development and Validation of Robotic Testing Methodologies.

Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the bi...

Developing an interpretable machine learning model for screening depression in older adults with functional disability.

This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study da...

Structural Insights into the Substrate Egress Pathways Explains Specificity and Inhibition of Human Glucose Transporters (GLUT1 and GLUT9).

Glucose transporters (GLUTs) play critical roles in cellular energy homeostasis and substrate-specif...

Diagnosis of rheumatic and autoimmune diseases dataset.

This study presents a primary dataset collected from one hospital and three laboratories in Iraq bet...

Unveiling Prognostic and Diagnostic Biomarkers in Knee and Hip Osteoarthritis: A Targeted Review.

Osteoarthritis is a multifactorial condition marked by the gradual deterioration of joint cartilage,...

Advances in pharmacotherapy of juvenile idiopathic arthritis.

INTRODUCTION: Juvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease in ch...

Evaluation of blood- and urine-derived biomarkers for machine learning prediction models of osteoarthritis in elderly patients: A feasibility study.

BACKGROUND: Osteoarthritis (OA) is a common degenerative joint disease, particularly affecting indiv...

Using deep-learning based segmentation to enable spatial evaluation of knee osteoarthritis (SEKO) in rodent models.

OBJECTIVE: In preclinical models of osteoarthritis (OA), histology is commonly used to evaluate join...

Deep learning reconstruction enhances tophus detection in a dual-energy CT phantom study.

This study aimed to compare two deep learning reconstruction (DLR) techniques (AiCE mild; AiCE stron...

Integrating bioinformatics and machine learning to identify biomarkers of branched chain amino acid related genes in osteoarthritis.

BACKGROUND: Branched-chain amino acids (BCAA) metabolism is significantly associated with osteoarthr...

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