ArticleFrontiers in immunology2022
Accurate Machine Learning Model to Diagnose Chronic Autoimmune Diseases Utilizing Information From B Cells and Monocytes.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Machine learning reveals X chromosome transcriptional signatures that classify systemic lupus erythematosus in females.BMC rheumatology · 2026Article
- Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq data.Frontiers in bioinformatics · 2026Article
- Machine learning approaches for biomarker discovery using single-cell RNA sequencing.Frontiers in bioinformatics · 2026Review
- Macrophages Unmasked: Their Pivotal Role in Driving Atherosclerosis in Systemic Lupus Erythematosus.Clinical reviews in allergy & immunology · 2025Review
- Immune Landscape Variation in Antineutrophil Cytoplasmic Antibody-Associated Vasculitis Circulation Before and After Plasmapheresis by Single-Cell Transcriptome.Mediators of inflammation · 2025Article
- Review
- Systemic lupus in the era of machine learning medicine.Lupus science & medicine · 2024Review
- Characterizing immune variation and diagnostic indicators of preeclampsia by single-cell RNA sequencing and machine learning.Communications biology · 2024Article
- Identification and Verification of Novel Biomarkers Involving Rheumatoid Arthritis with Multimachine Learning Algorithms: An In Silicon and In Vivo Study.Mediators of inflammation · 2024Article
- Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review.Diagnostics (Basel, Switzerland) · 2023Review
- Advanced methods and novel biomarkers in autoimmune diseases ‑ a review of the recent years progress in systemic lupus erythematosus.Frontiers in medicine · 2023Review
- Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases - a proof of concept study.Pediatric rheumatology online journal · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heterogeneity and limited comprehension of chronic autoimmune disease pathophysiology cause accurate diagnosis a challenging process. With the increasing resources of single-cell sequencing data, a reasonable way could be found to address this issue. In our study, with the use of large-scale public single-cell RNA sequencing (scRNA-seq) data, analysis of dataset integration (3.1 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.