AIMC Topic: Idiopathic Pulmonary Fibrosis

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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Reproducibility of Results Aged Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Respiratory Function Tests Generative Adversarial Networks Lung Deep Learning Idiopathic Pulmonary Fibrosis Humans
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Integrating cellular experiments, single-cell sequencing, and machine learning to identify endoplasmic reticulum stress biomarkers in idiopathic pulmonary fibrosis.

Annals of medicine Sep 28, 2024
BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) presents a severe respiratory challenge with a poor prognosis due to the lack of reliable biomarkers. Recent evidence suggests that Endoplasmic Reticulum Stress (ERS) may be associated with IPF pathogen...
Endoplasmic Reticulum Stress Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Osteopontin Humans Machine Learning Biomarkers Single-Cell Analysis Protein Interaction Maps Prognosis Gene Expression Profiling
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Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework.

Scientific reports Sep 27, 2024
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease with an elusive pathology, are nearly exclusive candidates for lung transplantation. Improved identification of patient subtypes can enhance early diagno...
Humans Machine Learning Female Aged Male Middle Aged Macrophages Biomarkers Prognosis Celecoxib Molecular Docking Simulation Single-Cell Analysis Idiopathic Pulmonary Fibrosis
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Construction of an artificial neural network diagnostic model and investigation of immune cell infiltration characteristics for idiopathic pulmonary fibrosis.

BMC pulmonary medicine Sep 17, 2024
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a severe lung condition, and finding better ways to diagnose and treat the disease is crucial for improving patient outcomes. Our study sought to develop an artificial neural network (ANN) model for ...
Lung Gene Expression Profiling Protein Interaction Maps Collagen Type III Databases, Genetic Idiopathic Pulmonary Fibrosis Humans Neural Networks, Computer
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Novel AT2 Cell Subpopulations and Diagnostic Biomarkers in IPF: Integrating Machine Learning with Single-Cell Analysis.

International journal of molecular sciences Jul 15, 2024
Idiopathic pulmonary fibrosis (IPF) is a long-term condition with an unidentified cause, and currently there are no specific treatment options available. Alveolar epithelial type II cells (AT2) constitute a heterogeneous population crucial for secret...
Single-Cell Analysis Idiopathic Pulmonary Fibrosis Alveolar Epithelial Cells Male Gene Expression Profiling Transcriptome Humans Prognosis Female Machine Learning Biomarkers
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IPF-related new macrophage subpopulations and diagnostic biomarker identification - combine machine learning with single-cell analysis.

Respiratory research Jun 13, 2024
Idiopathic pulmonary fibrosis (IPF) is a chronic disease of unknown etiology that lacks a specific treatment. In IPF, macrophages play a key regulatory role as a major component of the lung immune system, especially during inflammation and fibrosis. ...
Humans Single-Cell Analysis Female Idiopathic Pulmonary Fibrosis Machine Learning Male Macrophages Lung Biomarkers
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Machine learning classifier is associated with mortality in interstitial lung disease: a retrospective validation study leveraging registry data.

BMC pulmonary medicine May 23, 2024
BACKGROUND: Mortality prediction in interstitial lung disease (ILD) poses a significant challenge to clinicians due to heterogeneity across disease subtypes. Currently, forced vital capacity (FVC) and Gender, Age, and Physiology (GAP) score are the t...
Vital Capacity Tomography, X-Ray Computed Female Aged Machine Learning Prognosis Retrospective Studies Idiopathic Pulmonary Fibrosis Registries Lung Diseases, Interstitial Male Proportional Hazards Models Humans Middle Aged Follow-Up Studies
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Computed tomography machine learning classifier correlates with mortality in interstitial lung disease.

Respiratory investigation May 20, 2024
BACKGROUND: A machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (C...
Male Middle Aged Follow-Up Studies Lung Diseases, Interstitial Idiopathic Pulmonary Fibrosis Predictive Value of Tests Tomography, X-Ray Computed Female Aged Humans Machine Learning
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Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT.

BMJ open respiratory research Mar 9, 2024
PURPOSE: Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is the primary cause of death in patients with IPF, characterised by diffuse, bilateral ground-glass opacification on high-resolution CT (HRCT). This study proposes a three-dimensi...
Humans Tomography, X-Ray Computed Deep Learning Idiopathic Interstitial Pneumonias ROC Curve Idiopathic Pulmonary Fibrosis
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A three-gene random forest model for diagnosing idiopathic pulmonary fibrosis based on circadian rhythm-related genes in lung tissue.

Expert review of respiratory medicine Jan 31, 2024
BACKGROUND: The disorder of circadian rhythm could be a key factor mediating fibrotic lung disease Therefore, our study aims to determine the diagnostic value of circadian rhythm-related genes (CRRGs) in IPF.
Random Forest Circadian Rhythm Humans Collagen Type VII Lung Idiopathic Pulmonary Fibrosis
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