Pulmonology

Artificial Intelligence-Assisted Identification and Prevention of Chronic Obstructive Pulmonary Disease Using Biodegradable and Reusable Piezoelectric Elastomer/Poly(l-lactic acid) Composite Nanofiber Membrane.

Chronic obstructive pulmonary disease (COPD) is a respiratory disease imposing significant economic and health burdens to patients. The long latent period of COPD due to inhalation of PM 0.3 makes it difficult to prevent and identify the disease at an early stage. Herein, an environmentally friendly and long-term reliable nanofiber membrane with detection of COPD and filtration of PM 0.3 function ...

Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.

The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for opportunistic detection of steatotic liver disease, their potential for staging and risk assessment remains underexplored. Here we present a multimodal AI model trained on a large dataset, comprising of (n=968) histopathologically and (n=1103) radiol...

Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients.

Sleep architecture and integrity significantly influence neural recovery and cognitive restoration. These are particularly relevant in ischemic stroke...

HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma.

Hyperspectral imaging (HSI) is a three-dimensional imaging technique that integrates spectroscopy and imaging. When combined with microscopy, hyperspe...

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associations with chronic conditions (eg, diabetes, card...

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental factors. Benzo[a]anthracene (BaA), a common Group 2B...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdTB) remains quite challenging, especially in areas ...

Unraveling the matrix stiffness landscape in idiopathic pulmonary fibrosis: GSN and ARG1 as novel diagnostic biomarkers and potential therapeutic targets.

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is a progressive and fatal interstitial lung disease characterized by excessive extracellular matrix (...

Photoswitches for ion channel regulation: expanding the scope of phototherapy through computational chemistry.

The development of ion channel phototherapy using azobenzene-based photoswitchable molecules represents a promising strategy for the precise modulatio...

Identification and validation of the protective gene BCAT2 related to amino acid metabolism in idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal lung disease, with unknown pathogenesis and no effective treatment. Identifying the key...

Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal inflammation. While fibroblasts contribute to tiss...

Stress Detection Using Heart Rate Variability and Respiratory Signals Derived From a Single-Lead ECG.

Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promis...

Respiratory physiology after resupination following prone ventilation to predict 28-day mortality in mechanically ventilated patients: a machine learning analysis.

Evaluation of large Language models on pediatric asthma: a comparative study of Claude3-Opus, Gemini 2.0, ChatGPT-4o, and DeepSeek-a cross-sectional questionnaire study.

AI-based prediction of recurrence after carbon ion radiotherapy for early stage non-small cell lung cancer.

Lung cancer is a leading cause of cancer-related deaths. Carbon ion radiotherapy (CIRT) is a treatment modality for patients with inoperable condition...

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms ar...

Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senescence and an imbalanced immune microenvironment wer...

Development of a hybrid deep learning-based framework for liver fibrosis classification using ultrasound images.

BACKGROUND AND AIMS: Liver fibrosis is a progressive accumulation of extracellular matrix proteins with distortion of hepatic architecture and can pro...

Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early prediction of anti-tuberculosis drug-induced liver in...

K-CC-MoCo: A Fast k-Space-Based Respiratory Motion Correction for Highly Accelerated First-Pass Perfusion Cardiovascular MR.

PURPOSE: First-pass perfusion cardiovascular MR (FPP-CMR) enables the non-invasive diagnosis of microcirculation and coronary artery disease. In free-...