Pulmonology

Similarity of sputum mediator signatures between e-cigarette users and COPD depends on GOLD stage and type of e-cigarette: a pilot study.

There is overlap in symptoms and airway pathobiology between COPD and e-cigarette (e-cig) users. We ...

Comparison and Interpretation of Ultrasound-Based Radiomics Machine Learning Models for Assessing Renal Fibrosis in Chronic Kidney Disease.

Renal fibrosis is a key pathological feature of chronic kidney disease (CKD), yet its noninvasive ev...

Leveraging machine learning for accurate forecasting of pulmonary tuberculosis epidemics in a coastal city in China.

BACKGROUND: While pulmonary tuberculosis (PTB) remains a leading notifiable cause of death in China,...

The role of medical imaging in translational research into early pulmonary tuberculosis.

Early detection of tuberculosis (TB) is central to global efforts for TB care and prevention. Conven...

Precise oxygen therapy to emphysema patients by fuzzy-based gain tuning control of set-point regulated MRAC.

Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive d...

Increased Prevalence of Extrathymic Neoplasms in Myasthenia Gravis Patients-A Population-Based, Matched Case-Control Study.

INTRODUCTION/AIMS: Myasthenia gravis (MG) is associated with thymic neoplasms. However, an increased...

Artificial Intelligence-Based Pathological Subtype Diagnosis of Nasal Polyps: A Multidimensional and Micro-Visualization Study.

BACKGROUND: Nasal polyps (NP) are common upper respiratory conditions with diverse inflammatory subt...

Ethical Considerations for AI-Enabled Voice Analysis: Features of an Emerging Bioethics Literature.

BACKGROUND: With the emergence of voice as a digital biomarker for various health conditions over th...

A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification.

Lung cancer remains a global health challenge that is unavoidable. Despite the advances in lung canc...

"Perfection or Overfitting?" Reassessing the Validity of Deep Learning Models for Respiratory Sound Classification.

Wearable Sleep Measures May Improve Machine Learning Prediction of Home-Based Pulmonary Rehabilitation Engagement Among Patients With Chronic Obstructive Pulmonary Disease: A Proof-of-Concept Study.

OBJECTIVE: To evaluate whether incorporating baseline sleep measures from a wrist-worn activity moni...

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza v...

Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancer.

INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung c...

Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).

Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreve...

Room-Temperature Trace NO2 Monitoring System Based on Two-Dimensional Heterostructures and Integrated with Deep Learning.

Accurate detection of trace NO2 at room temperature is crucial for air quality control and the early...

Decoding organ fibrosis: mechanistic insights and emerging therapeutic strategies.

Fibrosis is a maladaptive pathophysiological process characterized by excessive deposition of extrac...

Plasma proteomic and machine learning models for differentiating idiopathic pulmonary fibrosis and connective tissue disease-associated interstitial lung disease: findings from a prospective cohort.

Artificial intelligence for venous thromboembolism risk stratification in surgical patients: a systematic review.

Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), is a...

Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data.

PAH-former: Transfer learning for efficient discovery of pulmonary arterial hypertension-associated genes.

BACKGROUND AND AIMS: Pulmonary arterial hypertension (PAH) is a severe disease with limited effectiv...

Integrated analysis of therapeutic strategies and prognostic factors in advanced lung adenocarcinoma: Retrospective study with emphasis on gene assays, multimodality treatment approaches and predictive machine learning models.

Patients with advanced lung adenocarcinoma have a range of treatment options, including targeted the...