AIMC Topic: Scleroderma, Systemic

Clear Filters Showing 21 to 30 of 31 articles

Using Machine Learning to Molecularly Classify Systemic Sclerosis Patients.

Arthritis & rheumatology (Hoboken, N.J.) Sep 9, 2019
Image Processing, Computer-Assisted Scleroderma, Systemic Humans Machine Learning
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A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

Arthritis & rheumatology (Hoboken, N.J.) Sep 2, 2019
OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods require...
Humans Machine Learning High-Throughput Nucleotide Sequencing Adult Datasets as Topic Transcriptome Scleroderma, Systemic Algorithms Male Gene Expression Middle Aged Supervised Machine Learning Female Gene Expression Profiling Aged Young Adult
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The role of klotho in systemic sclerosis.

Reumatismo Dec 21, 2017
The aim was to evaluate the role of klotho in the pathogenesis of systemic sclerosis (SSc), through the measurement of its serum concentration in SSc patients compared to healthy controls, and to assess the association with cutaneous and visceral inv...
Statistics, Nonparametric Female Middle Aged Humans Aged Immunosuppressive Agents Biomarkers Adult Lung Microscopic Angioscopy Osteoporosis Male Klotho Proteins Prostaglandins Glucuronidase Scleroderma, Systemic
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Integrative exome sequencing and machine learning identify MICB and interferon pathway genes as contributors to SSc risk.

Annals of the rheumatic diseases Aug 1, 2025
OBJECTIVES: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentified genetic contributors. While genome-wide association studies (GWAS) have implicated multiple loci, many reside in noncoding regions. We aimed to iden...
Quantitative Trait Loci Genome-Wide Association Study Genetic Predisposition to Disease Female Polymorphism, Single Nucleotide Male Signal Transduction White People Middle Aged Case-Control Studies Humans Exome Sequencing Scleroderma, Systemic Machine Learning Interferons
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Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine-Learning and CT Features.

Clinical transplantation Jul 1, 2025
INTRODUCTION: Primary graft dysfunction (PGD) is a significant barrier to survival in lung transplant (LTx) recipients. PGD in patients with systemic sclerosis (SSc) remains especially underrepresented in research.
Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Humans Machine Learning Prognosis Follow-Up Studies Adult Lung Transplantation Male Scleroderma, Systemic Middle Aged Primary Graft Dysfunction Graft Survival
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Identification of biomarkers and immune infiltration associated with sexes in SSc: a bioinformatics and machine learning.

Rheumatology (Oxford, England) Jun 1, 2025
OBJECTIVE: This study aimed to identify key candidate genes associated with the sexes of patients with SSc.
Sex Factors Scleroderma, Systemic Gene Expression Profiling Computational Biology Skin Humans Machine Learning Macrophages Biomarkers Female Male
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CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis.

Rheumatology (Oxford, England) Jun 1, 2025
OBJECTIVES: Nailfold videocapillaroscopy (NVC) is the gold standard for diagnosing SSc and differentiating primary from secondary RP. The CAPI-Score algorithm, designed for simplicity, classifies capillaroscopy scleroderma patterns (CSPs) using a lim...
Humans Machine Learning Middle Aged Nails Microscopic Angioscopy Scleroderma, Systemic Algorithms Female Adult Male Capillaries
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Machine learning-driven immunophenotypic stratification of mixed connective tissue disease, corroborating the clinical heterogeneity.

Rheumatology (Oxford, England) Mar 1, 2025
OBJECTIVE: The objective of this study was to stratify patients with MCTD, based on their immunophenotype.
Scleroderma, Systemic Mixed Connective Tissue Disease Transcriptome Lupus Erythematosus, Systemic Immunophenotyping Adult Myositis Male Middle Aged Humans Machine Learning Female
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[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2024
OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.
Humans Mice Biomarkers Computational Biology Animals Disease Models, Animal Neural Networks, Computer Scleroderma, Systemic Gene Expression Profiling Mitochondria Machine Learning ROC Curve Algorithms
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A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images.

Rheumatology (Oxford, England) Jun 1, 2023
OBJECTIVES: Nailfold capillaroscopy is key to timely diagnosis of SSc, but is often not used in rheumatology clinics because the images are difficult to interpret. We aimed to develop and validate a fully automated image analysis system to fill this ...
Sensitivity and Specificity Deep Learning ROC Curve Nails Microscopic Angioscopy Scleroderma, Systemic Capillaries Humans
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