Pulmonology

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

BACKGROUND: Missed inspiratory efforts represent one of the most frequent and clinically relevant fo...

Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.

Natural products have an unparalleled track record as sources of clinical drugs. Among them, nonribo...

Calceolarioside B alleviates airway barrier dysfunction and inflammation via targeting P2Y6R in OVA-triggered asthma.

Asthma is a chronic inflammatory airway disease characterized by barrier dysfunction and excessive i...

Artificial Intelligence Interpretation of Point-of-Care Lung Ultrasound in Microgravity.

INTRODUCTION: Long-duration space missions demand reliable, portable, and autonomous medical diagnos...

Exploring tuberculosis physicians' preferences for AI explainability in China: a protocol for a discrete choice experiment.

INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but ...

A large-scale single-cell atlas reveals the pulmonary immune panorama in adult patients with influenza.

RATIONALE: The host immune determinants that distinguish protective from life-threatening responses ...

Deep Learning-Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study.

The application of deep learning-based reconstruction (DLR) to magnetic resonance imaging (MRI) has ...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pa...

Uncertainty quantification of U-Net based segmentation tool using conformal prediction.

BACKGROUND: The radiation therapy treatment process is very labour intensive, and artificial intelli...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent ...

An Emergency-deployable Albumin-enhanced NLR Derived by Machine Learning Improves Risk Stratification in Lung Cancer: A Multicenter Cohort Study.

BACKGROUND/AIM: Systemic inflammation is tightly linked to lung cancer prognosis, yet widely used bl...

Early metabolic trajectory and sedation strategy in V-V ECMO for severe pneumonia: a multicenter cohort study.

BACKGROUND: Prognostic assessment in patients with severe pneumonia requiring veno-venous extracorpo...

NMR-based serum metabolomic signatures distinguish active tuberculosis from latent tuberculosis infection.

BACKGROUND: Tuberculosis (TB) continues to be a major cause of global morbidity and mortality, parti...

In-hospital mortality among patients with congenital heart disease undergoing noncardiac procedures: machine learning analysis of a multicentre study.

BACKGROUND: Improved survival for children with congenital heart disease (CHD) has resulted in an in...

Prognostic significance of the endothelial activation and stress index in acute respiratory distress syndrome: a retrospective cohort study.

Endothelial cells play a crucial role in the pathogenesis of acute respiratory distress syndrome (AR...

A Review of Failure Modes and Safety Strategies of Lithium-Ion Batteries from Materials to Systems.

Lithium-ion batteries (LIBs) have rapidly proliferated due to their high energy density, fast chargi...

How artificial intelligence could improve the diagnosis and management of COPD: a perspective from GOLD.

Lung ultrasound in interstitial lung disease: from bedside screening to prognostic integration and AI-assisted standardization.

Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeate...

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.

The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of ...

Machine learning-based cross-sectional exploration of depression-chronic pain associations in chronic respiratory disease patients.

BACKGROUND: Chronic respiratory diseases (CRD) are a leading global cause of death, with high comorb...

Discovery of biomarkers for primary Sj ögren's syndrome based on multi-omics data, construction of diagnostic models, and clinical correlation analysis.

OBJECTIVE: Primary Sjogren's syndrome(pSS) exhibits significant clinical heterogeneity, which poses ...