Rheumatology

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

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Cells Keep Diverse Company in Diseased Tissues.

Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

Specific heat anomalies and local symmetry breaking in (anti-)fluorite materials: A machine learning molecular dynamics study.

Understanding the high-temperature properties of materials with (anti-)fluorite structures is crucia...

[Progress in neoadjuvant immunotherapy for locally advanced rectal cancer].

Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (...

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...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...

Diagnosis of rheumatic and autoimmune diseases dataset.

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

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.

PURPOSE: This study aimed to establish and validate a prediction model based on machine learning met...

Advances in pharmacotherapy of juvenile idiopathic arthritis.

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

Benchmarking HEp-2 cell segmentation methods in indirect immunofluorescence images - standard models to deep learning.

Indirect Immunofluorescence (IIF) stained Human Epithelial (HEp-2) cells are considered the gold sta...

CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis.

OBJECTIVES: Nailfold videocapillaroscopy (NVC) is the gold standard for diagnosing SSc and different...

MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

Causal effect estimation of individual heterogeneity is a core issue in the field of causal inferenc...

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...

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

A Digital Score Based on Circulating-Tumor-Cells-Derived mRNA Quantification and Machine Learning for Early Colorectal Cancer Detection.

Circulating tumor cells (CTCs) serve as valuable biomarkers in tumor circulation, carrying essential...

Similarity of immune-associated markers in COVID-19 and Kawasaki disease: analyses from bioinformatics and machine learning.

BACKGROUND: Infection by the SARS-CoV-2 virus can cause coronavirus disease 2019 (COVID-19) and can ...

Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL.

Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-c...

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