Pulmonology

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 skeletal and cardiac muscle degeneration, loss of ambulation, respiratory failure and premature mortality. Although corticosteroids and gene therapies have improved disease management, they are limited by significant side effects, mutation specificity and delivery challenges, underscoring the need for an a...

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 is a pivotal technology for food freshness assessment. Herein, through an active-site engineering strategy, PdRu-modified hierarchical In2O3 nanoflowers were successfully prepared by self-assembly of mesoporous nanosheets. The 3D interconnected pore system significantly promotes the diffusion and ma...

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. METHODS: Electr...

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 systemic comorbidities with key patient attributes i...

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 mediated soil carbon-cycling processes remain controversi...

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 nonsmoking populations. Rapid on-site evaluation ...

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

Tuberculosis (TB) and human immunodeficiency virus (HIV) cause significant morbidity and mortality in South America. Despite the advances in active ca...

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 utilization patterns in pediatric respiratory diseases. Giv...

Estimating major pathological response in non-small cell lung cancer patients with post-neoadjuvant therapy using MMT-net.

Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced non-small cell lung cancer (NSCLC). Major pathologi...

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

5-Hydroxymethylcytosine profiles in circulating cell-free DNA serve as potential biomarkers for diagnosis and classification of adenomyosis.

BACKGROUND: Adenomyosis diagnosis and classification relies primarily on magnetic resonance imaging or pathological examination. Liquid biopsy has bee...

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, yet its sluggish kinetics poses a major barrier ...

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 sedative drugs can cause respiratory depression a...

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 environmental risks that intensify population vulnerability. T...

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 health challenge. Patients with chronic obstructi...

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 cough acoustics and screening accuracy require 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 has been investigated and debated since the start o...

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 involution with age and has therefore traditionally be...

Thymic health and immunotherapy outcomes in patients with cancer.

Although immunotherapy has revolutionized cancer treatment, many patients still experience limited benefit, highlighting the urgent need for improved ...