AIMC Topic: Pulmonary Arterial Hypertension

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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 ...
Cohort Studies Nomograms Risk Assessment Lung Diseases, Interstitial Pulmonary Arterial Hypertension Lupus Erythematosus, Systemic Predictive Value of Tests Adult Female Middle Aged Male Machine Learning Retrospective Studies Humans
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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).
Gene Regulatory Networks Computational Biology ROC Curve Hypertension, Pulmonary Pulmonary Arterial Hypertension Fatty Acids Databases, Genetic Male Transcriptome Gene Expression Profiling Retrospective Studies Female Machine Learning Algorithms Humans
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Using deep learning to diagnose pulmonary hypertension.

European heart journal. Cardiovascular Imaging Oct 20, 2022
Familial Primary Pulmonary Hypertension Pulmonary Arterial Hypertension Deep Learning Humans Hypertension, Pulmonary Tomography, X-Ray Computed
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A framework of deep learning networks provides expert-level accuracy for the detection and prognostication of pulmonary arterial hypertension.

European heart journal. Cardiovascular Imaging Oct 20, 2022
AIMS: To test the hypothesis that deep learning (DL) networks reliably detect pulmonary arterial hypertension (PAH) and provide prognostic information.
Deep Learning Familial Primary Pulmonary Hypertension Humans Hypertension, Pulmonary Pulmonary Arterial Hypertension Ventricular Function, Right Ventricular Dysfunction, Right
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Discovery of Distinct Immune Phenotypes Using Machine Learning in Pulmonary Arterial Hypertension.

Circulation research Mar 15, 2019
RATIONALE: Accumulating evidence implicates inflammation in pulmonary arterial hypertension (PAH) and therapies targeting immunity are under investigation, although it remains unknown if distinct immune phenotypes exist.
Phenotype Machine Learning Cytokines Humans Aged Male Pulmonary Arterial Hypertension Female Proteomics Cohort Studies Adult Middle Aged
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