Pulmonology

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presen...

Identification of diagnostic and prognostic biomarkers in lung adenocarcinoma through integrated bioinformatics analysis and real time PCR validation.

Lung cancer is the third most common cancer in the US with a 5-year survival rate of 17%. Non-small ...

Leveraging universal and transfer learning models for influenza prediction in Thailand.

Influenza is a major respiratory disease that causes significant morbidity and mortality worldwide. ...

Group equivariant pyramid network for respiratory motion correction on PET image.

INTRODUCTION: Respiratory-induced artefacts cause blurring in PET images, impairing lesion identific...

Subphenotypes in acute respiratory distress syndrome: A scoping review across clinical, biological, computational, imaging, omics, and artificial intelligence approaches.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome with high mortali...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a signi...

Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD.

Chronic obstructive pulmonary disease (COPD) and non-small-cell lung cancer (NSCLC) often coexist; h...

Water parks, vaping, COPD topics on team management, exacerbations, bronchoscopic therapies, lung transplantation, and artificial intelligence.

Liquid biopsy biomarkers for accurate detection of malignant pulmonary nodules: a meta-analytic approach.

UNLABELLED: Pulmonary nodules are a common radiological finding that can be classified as either ben...

From inhibition to regulation: serpins in health and disease.

This issue of the Biomedical Journal highlights regulatory mechanisms that shape aging, disease prog...

Multicenter Prospective Cohort Study on Clinical Outcomes and Fibrosis Patterns in Biopsy-Proven Steatotic Liver Disease Subtypes.

BACKGROUND & AIMS: Clinical outcomes and histological characteristics of biopsy-proven steatotic liv...

Deep Learning Model with Nodule Indexing Tailored to Early-Stage Lung Cancer Detection.

OBJECTIVE: To evaluate whether a deep learning-based AI system with suspected nodule indexing and ma...

"Comprehensive multi-omics of age-respective plasma and matrix-bound extracellular vesicles identifies anti-fibrotic miRNAs validated on a heart-on-a-chip".

Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and n...

Roof-dependent atrial tachycardia after pulsed field ablation-mechanistic insights and predictive modeling for optimized ablation strategies: an ultra-high-density mapping study.

BACKGROUND AND AIMS: Pulsed field ablation (PFA) has emerged to an innovative approach to achieve pu...

Machine-learning-guided tungsten single atoms promote oxyhydroxides for noble-metal-free water electrolysis.

Lowering the overpotential of oxygen evolution reaction with electrocatalysts is essential for effic...

Bioinspired triboelectric droplet sensor for ammonia monitoring.

Gas sensors with fast response are in high demand for environmental and health applications. Convent...

Integrated predictive model for visceral pleural invasion in small NSCLC with high clinical utility.

This study aims to develop and validate a multi-feature integrated imaging fusion (MIIF) model, inco...

APOLLO11: a bio-data-driven model for clinical and translational research in lung cancer.

Identifying predictive and resistance biomarkers remains one of the most relevant unmet needs in cli...

Dynamic Vibration-Coupled Energy Transfer for Boosting ORR Catalysts in Fuel Cells.

We demonstrate here a promising yet challenging method to produce highly active catalysts by utilizi...

Optimizing the Accuracy of Natural Language Processing Tools for Pulmonary Embolism Detection Through Integration with Claims Data: The PE-EHR+ Study.

BACKGROUND: Rule-based natural language processing (NLP) tools can identify pulmonary embolism (PE) ...

Assumption-light feature discovery outperforms Cox-based selection for PM2.5 constituent analysis in an open benchmark.

AI misapplications are widespread in environmental research, often arising from limited understandin...