AIMC Topic: Pulmonary Arterial Hypertension

Clear Filters Showing 1 to 10 of 13 articles

Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Scientific reports Apr 24, 2025
Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by elevated pulmonary arterial pressure, leading to right heart failure and death. Despite advancements in diagnosis and treatment, it remains incurable, and ...
Machine Learning Female Adult Male Humans Single-Cell Analysis Hypoxia Pulmonary Arterial Hypertension Middle Aged Gene Expression Profiling Transcriptome
View on PubMed DOI

Therapeutic potential of allosteric HECT E3 ligase inhibition.

Cell Apr 2, 2025
Targeting ubiquitin E3 ligases is therapeutically attractive; however, the absence of an active-site pocket impedes computational approaches for identifying inhibitors. In a large, unbiased biochemical screen, we discover inhibitors that bind a crypt...
Humans Animals Ubiquitination Male Allosteric Regulation Mice Pulmonary Arterial Hypertension Signal Transduction Bone Morphogenetic Protein Receptors, Type II Ubiquitin-Protein Ligases
View on PubMed DOI

Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

International immunopharmacology Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Mice Computational Biology Disease Models, Animal Mice, Inbred C57BL Male Lung Gene Expression Profiling Pulmonary Artery Pulmonary Arterial Hypertension Superoxide Dismutase-1 Humans Machine Learning Biomarkers Animals
View on PubMed DOI

A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

Journal of imaging informatics in medicine Aug 13, 2024
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
Deep Learning Electrocardiography Sensitivity and Specificity Radiography, Thoracic Humans Male Pulmonary Arterial Hypertension Female Echocardiography Aged Middle Aged
View on PubMed DOI

Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

BMC pulmonary medicine Feb 27, 2024
BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition is often misdiagnosed or a rather long delay occurs from symptom onset to diagnosis, associated with decreased 5-year survival. In this study, we devel...
X-Rays Pulmonary Arterial Hypertension Humans Artificial Intelligence Deep Learning Thorax
View on PubMed DOI

The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning.

Medicina clinica Feb 20, 2024
Real-world registries have been critical to building the scientific knowledge of rare diseases, including Pulmonary Arterial Hypertension (PAH). In the past 4 decades, a considerable number of registries on this condition have allowed to improve the ...
Humans Machine Learning Prognosis Registries Hypertension, Pulmonary Pulmonary Arterial Hypertension
View on PubMed DOI

Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.

Journal of advanced research Nov 4, 2023
INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and rural areas can be a challenging task. However, recent advancements in computer vision offer the potential for automated systems to detect PAH from ech...
Middle Aged Hypertension, Pulmonary Pulmonary Arterial Hypertension Aged Adult Humans Male Neural Networks, Computer Echocardiography Female
View on PubMed DOI

Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Lung Diseases, Interstitial Data Mining Aged Heart Diseases Prospective Studies Middle Aged France Aged, 80 and over Prognosis Humans Risk Assessment Pulmonary Arterial Hypertension Cluster Analysis Male Female Machine Learning Comorbidity Kidney Diseases Risk Factors Phenotype Health Status Registries
View on PubMed DOI

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

Respiratory research May 24, 2025
BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, life-threatening complications of systemic lupus erythematosus (SLE). Early identification of high-risk patients remains challenging due to the lack of ...
Lung Diseases, Interstitial Pulmonary Arterial Hypertension Nomograms Predictive Value of Tests Lupus Erythematosus, Systemic Machine Learning Male Humans Retrospective Studies Middle Aged Female Risk Assessment Adult Cohort Studies
View on PubMed DOI

Identification of fatty acid metabolism signature genes in patients with pulmonary arterial hypertension using WGCNA and machine learning.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with immune cells in pulmonary arterial hypertension (PAH).
Databases, Genetic Fatty Acids Hypertension, Pulmonary Pulmonary Arterial Hypertension Transcriptome ROC Curve Gene Regulatory Networks Computational Biology Female Male Gene Expression Profiling Humans Machine Learning Algorithms Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals