COPD

Integrative multi-omics reveals NQO1-mediated airway epithelial injury as a key mechanism of bisphenol A-induced COPD.

Bisphenol A (BPA) is a ubiquitous environmental pollutant, but its relationship with chronic obstructive pulmonary disease (COPD) and the underlying toxicological mechanisms remain unclear. To address this, we employed an integrative multi-omics strategy that included cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data, Mendelian randomization, network to...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is typically treated through continuous positive airway pressure (CPAP), but more investigations are needed to confirm its benefits. METHODS: In this work, survival analysis has been exploited and enhanced with eXplainable Artifical Intelligence (XAI) ...

Predicting water quality parameters in a subtropical estuary under different scenarios: Evidence from the Gold Coast, Australia.

Estuarine water quality is shaped by complex interactions between hydrodynamics, climate, and catchment inputs, making accurate prediction challenging...

An interpretable ensemble learning framework for COPD classification using population-based clinical and laboratory data from NHANES.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) represents the third leading cause of death globally, affecting 213.39 million people, yet ...

Development of a Screening Model for Exercise-Induced Desaturation by Machine Learning Method.

BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...

Deep-UV Plasmonics with Stable In2Au Alloy (Blue Gold) Nanoparticles.

Surface plasmon resonances in nanoparticles are intensely studied in fundamental and applied research as they permit investigating the interplay betwe...

A machine learning approach to non-invasive prediction of hepatic decompensation in compensated advanced chronic liver disease: the CIRI model.

BACKGROUND & AIMS: Hepatic venous pressure gradient (HVPG) is the gold standard for assessment of prognosis in compensated advanced chronic liver dise...

Simulator development using natural language: clinician-led innovation through artificial intelligence.

BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-developer gap," where educators lack programming expertise...

Chest Radiograph-based Artificial Intelligence for Osteoporosis: Accuracy and Associations With Fracture and Mortality.

OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs (CXRs), focusing on its diagnostic accuracy agains...

Detection of bronchopulmonary dysplasia in infants and prediction of school-age lung function from tidal breathing data using recurrent neural networks.

Objective.To test whether machine learning (ML) models trained on tidal breathing flow time series can discriminate between individuals with and witho...

Femtosecond Laser-Fabricated Bowl-Shaped Surface-Enhanced Raman Scattering Platform for Multibiomarker Analysis of Acute Myocarditis Using Fuzzy Logic.

Biomarkers for acute myocarditis (AM) are commonly used in clinical diagnosis, but their ultralow concentrations in blood are challenging to be detect...

Integrative multi-omics identifies CYP1B1 as a candidate molecular link between toxicant exposure and ferroptosis-related epithelial stress in COPD.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation, chronic airway inflammation, and epitheli...

RadiolGAN: Multicenter Feasibility Study of Synthetic CT From 3D Ultra-Short Echo Time MRI for Enhanced Pulmonary Radiologic Sign Visualization.

BACKGROUND: Chest CT requires breath-holding and ionizing radiation. 3D ultrashort echo time (UTE) MRI allows radiation-free imaging, but the image qu...

Preferential nitrogen retention characterizes current eutrophication in United States lakes.

The relative retention of nitrogen (N) and phosphorus (P) in lakes and their roles in nutrient cycling remain debated. Although the United States has ...

Construction and validation of an interpretable machine learning model for predicting diabetes risk in COPD patients.

To construct and validate a machine learning (ML) model for predicting diabetes risk in COPD patients, enabling early and personalized intervention. U...

Artificial Intelligence Diagnosis of Obstructive Sleep Apnea Using Overnight Pulse Oximetry: A Systematic Review and Bayesian Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) affects 38% of the population, yet over 90% of cases remain undiagnosed. The gold standard for diagnosis, po...

Precision treatment of COPD based on novel imaging phenotypes: a treatable traits approach.

Chronic obstructive pulmonary disease (COPD) is a heterogeneous syndrome. Spirometry, while diagnostic, inadequately characterizes disease complexity....

Heatstroke Over the Past Decade: Risk Factors, Long-Term Health Consequences, and Preventive Measures.

BACKGROUND: Heatstroke (HS) encompasses acute multi-organ dysfunction and increases susceptibility to subsequent heat-related conditions, making timel...

Development and multicenter validation of machine learning models for 28-day mortality in critically ill patients with acute exacerbation of chronic obstructive pulmonary disease.

BACKGROUND: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common critical illness in the intensive care unit (ICU) and is ...

Mechanism-Guided, Data-Driven Discovery of a Dinuclear Gold Catalyst for Promoting Oxidative Addition.

Gold catalysis is frequently constrained by the limited accessibility of Au(I)/Au(III) redox pathways, particularly for the direct oxidative addition ...