Arthritis

Sex bias consideration in healthcare machine-learning research: a systematic review in rheumatoid arthritis.

OBJECTIVE: To assess the acknowledgement and mitigation of sex bias within studies using supervised ...

Leveraging machine learning for drug repurposing in rheumatoid arthritis.

Rheumatoid arthritis (RA) presents a significant challenge in clinical management because of the dea...

AI classification of knee prostheses from plain radiographs and real-world applications.

PURPOSE: Total knee arthroplasty (TKA) is considered the gold standard treatment for end-stage knee ...

Interpretable machine learning model for predicting depression in middle-aged and elderly Chinese arthritis patients: A nationwide prospective cohort study.

Advance signal processing and machine learning approach for analysis and classification of knee osteoarthritis vibroarthrographic signals.

Osteoarthritis is a common cause of disability among elderly significantly affecting their quality o...

An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of m...

Measuring the severity of knee osteoarthritis with an aberration-free fast line scanning Raman imaging system.

Osteoarthritis (OA) is a major cause of disability worldwide, with symptoms like joint pain, limited...

An antibody developability triaging pipeline exploiting protein language models.

Therapeutic monoclonal antibodies (mAbs) are a successful class of biologic drugs that are frequentl...

Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.

A neural network was trained to generate synthetic images of severe and moderate psoriatic plaques, ...

Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.

Ageing significantly contributes to osteoarthritis (OA) and metabolic syndrome (MetS) pathogenesis, ...

An interpretable machine learning approach for detecting psoriatic arthritis in a UK primary care psoriasis cohort using electronic health records from the Clinical Practice Research Datalink.

OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed ...

Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study.

INTRODUCTION: Knee osteoarthritis (KOA) is a degenerative joint disease characterized by the progres...

Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models.

Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection an...

Machine Learning-Assisted Chemical Tongues Based on Dual-channel Inclusion Complexes for Rapid Identification of Nonsteroidal Anti-inflammatory Drugs in Food.

The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant healt...

A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnorm...

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.

Arthritis is an inflammatory condition associated with joint damage, the incidence of which is incre...

Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics.

This study presents a novel wearable solution integrating Polymer Optical Fiber (POF) sensors into a...

Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.

OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular...

Hybrid attention-CNN model for classification of gait abnormalities using EMG scalogram images.

This research aimed to develop an algorithm for classifying scalogram images generated from electrom...

Automatic Joint Lesion Detection by enhancing local feature interaction.

Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion De...

Biopsychosocial based machine learning models predict patient improvement after total knee arthroplasty.

Total knee arthroplasty (TKA) is an effective treatment for end stage osteoarthritis. However, biops...