Pulmonology

Endothelial cell senescence shapes T cell activity in late-stage of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a leading cause of death with few effective therapie...

Deciphering lung adenocarcinoma heterogeneity: a multi-omics approach reveals nuclear division fibroblasts as prognosticators and therapeutic targets.

BACKGROUND: Lung adenocarcinoma (LUAD) is a predominant contributor to cancer‑related mortality glob...

Targeting autophagy in Duchenne muscular dystrophy: mechanistic insights and emerging therapeutic strategies.

Duchenne muscular dystrophy (DMD) is a severe X-linked myopathy characterised by progressive skeleta...

Active-Site Engineering Enhanced PdRu Bimetallic Modified Hierarchical Mesoporous In2O3 Nanoflowers for Highly Efficient Assessment of Seafood Freshness.

Highly sensitive detection of trimethylamine (TMA) concentration in complex monitoring environments ...

Fuzzy logic for preanesthetic risk assessment in cataract surgery patients.

We aimed to build a fuzzy logic preanaesthetic risk score tailored to cataract surgery. By fusing sy...

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as ...

Coupled effects of glyphosate on soil carbon cycling regulated by dose, time, and environment: A global meta-analysis.

Glyphosate (GLY) is the most widely used herbicide worldwide, yet its effects on microbially mediate...

Machine Learning Predicts Adequacy of Rapid On-site Evaluation in Fine Needle Aspirations in Lung Cancer Cytology.

Lung cancer is projected to become the leading cause of cancer-related mortality in both smoking and...

Challenges and Opportunities for Improved Tuberculosis and HIV Prevention in South America.

Tuberculosis (TB) and human immunodeficiency virus (HIV) cause significant morbidity and mortality i...

Explainable Artificial Intelligence for Predicting Length of Stay and Treatment Response in Pediatric Asthma and Allergic Rhinitis: An Irregular Fuzzy Cellular Automata Approach Across Pre- and During-COVID-19 Periods.

OBJECTIVE: The COVID-19 pandemic significantly altered treatment strategies and healthcare utilizati...

Identification of tuberculosis transmission hotspots in urban China using surveillance data: a machine learning approach based on genomic and spatial analysis.

Spin State Manipulation: A Key to High-Efficiency Electrocatalytic Oxygen Evolution Reaction.

The oxygen evolution reaction (OER) is a critical half-reaction in electrochemical energy conversion...

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other...

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning.

Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmenta...

Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models.

Lung cancer (LC) is one of the most prevalent and deadly cancers globally, presenting a major public...

Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.

PURPOSE: Digital cough screening for COVID-19 detection shows promise, but population differences in...

Applying machine learning to identify unrecognized COVID-19 deaths recorded as other causes of death in the United States.

The actual number of US deaths caused by severe acute respiratory syndrome coronavirus 2 infection h...

Piperacillin/tazobactam plus erythromycin improves clinical outcomes in AECOPD with bacterial lower respiratory tract infections: a retrospective cohort study.

Thymic health consequences in adults.

The thymus is essential for establishing T cell diversity early in life, but undergoes profound invo...

Multiview 2.5D Deep Learning Outperforms 2D and 3D Models for Preoperative Prediction of Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma.

OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep le...

Past, present and future perspectives of traumatic brain injury.

Despite extensive research, traumatic brain injury (TBI) imposes significant mortality and morbidity...