Pulmonology

Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity.

G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors that play pivotal roles in various physiological and neurological processes by mediating extracellular signals through G proteins. Notable GPCRs such as ADRB2, CHRM1, DRD2, and HTR2A are important therapeutic targets linked to conditions ranging from asthma to schizophrenia. The human ether-à-go-go-rel...

Graphdiyne-assisted LDI-MS for rapid, non-invasive urine metabolomic profiling in tuberculosis screening.

Tuberculosis (TB) remains a major global health burden. Here we report a rapid, noninvasive urine-based metabolomics approach using graphdiyne (GD)-assisted laser desorption ionization mass spectrometry (LDI-MS) combined with machine learning. We applied GD-assisted LDI-TOF MS to urine samples from healthy controls (HC) and active TB patients, generating rich metabolite fingerprints. Supervised cl...

Novel Event-Based Peripheral Oxygen Saturation Metrics Provide Complementary Information for OSA Classification.

OBJECTIVE: The Apnea-Hypopnea Index (AHI) serves as the primary metric for Obstructive Sleep Apnea (OSA) severity but quantifies only event frequency,...

Direct Integration of Ionic Liquid Gel Sensors onto Microfibrous Face Mask Substrates for Wearable Respiratory Health Monitoring.

Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health outside of clinical settings, for example, to suppo...

Identification and Validation of Liver Transplantation-Induced Acute Lung Injury Biomarkers Using a Bioinformatics and Experimental Approach.

BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negatively affecting transplant outcomes and patient su...

Ferroptosis-Related Signature Genes and Immune Landscape in Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by heightened inflammation and immune dysregulation,...

Advances and challenges in the application of metagenomic sequencing for the diagnosis and treatment of infectious diseases: from pathogen spectrum identification to personalized antimicrobial strategies.

Infectious diseases remain a major global public health concern, demanding rapid and accurate identification of pathogens. Although conventional diagn...

Towards lightweight stress monitoring on biometric data for IoMT environments.

BACKGROUND AND OBJECTIVE: Stress is a physiological response mechanism that enables humans to react to perceived threats through a fight-or-flight res...

Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models.

BACKGROUND: Pyroptosis, a pro-inflammatory form of regulated cell death mediated by gasdermin pore formation and typically triggered by inflammasome a...

Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis.

BACKGROUND: Endocrine-disrupting chemicals (EDCs) are common environmental pollutants that affect human health. These chemicals have been linked to th...

Environmentally sustainable UV spectrophotometric-chemometric approach for simultaneous determination of budesonide, glycopyrrolate, and formoterol.

This study introduces a sustainable UV-spectrophotometric platform for the simultaneous and individual determination of budesonide (BUD), glycopyrrola...

Artificial Intelligence-Driven Three-Dimensional Reconstruction in Lung Cancer Surgery: Current Status and Future Perspectives.

BACKGROUND: Three-dimensional (3D) reconstruction is an important adjunct in lung cancer surgery for visualizing pulmonary anatomy, supporting preoper...

Prediction model for deep vein thrombosis stability based on multiple machine learning methods.

BackgroundThis study aimed to develop multiple machine learning (ML) models to predict DVT stability based on clinical and computed tomography (CT) te...

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: An epidemic transmission and machine learning modeling study.

Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden of Severe Acute Respiratory Syndrome Coronavirus ...

Clinical validation of perfusion imaging with pulmonary function test data using Voronoi-based discretization.

Accurate lung function assessment is essential for diagnosing and managing diseases like COPD, pulmonary emboli, and lung cancer. Single-photon emissi...

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer rem...

Estimating the odds ratio from the output scores of machine learning models: possibilities and limitations.

Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for mode...

Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications.

BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy lo...

Breathomics Analysis for Early Diagnosis of Lung Cancer Based on PTR-TOF MS: A Large Sample Size Cross-Sectional Study.

INTRODUCTION: Lung cancer remains a leading cause of cancer mortality globally, emphasising the critical need for non-invasive and cost-effective earl...

In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure.