Pulmonology

Structural determinants of pulmonary diffusing capacity identified by network analysis and machine learning on quantitative CT.

Diffusing capacity for carbon monoxide (DLCO) reflects pulmonary gas exchange efficiency, but its me...

The ubiquitin ligase FBXW7 regulates epithelial pyroptosis in severe asthma.

BACKGROUND: Severe asthma is characterized by persistent airway inflammation and epithelial injury. ...

Accurate profiling of single-cell alternative transcript start sites by correcting RNA degradation.

The generation of transcript variants via alternative utilisation of transcription start sites (TSSs...

Risk prediction models for imported infectious diseases: A systematic review.

OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warn...

Exploration of ferroptosis-related biomarkers and regulatory mechanisms in two diseases (sarcopenia and idiopathic pulmonary fibrosis) based on transcriptome and machine learning.

BACKGROUND: Sarcopenia (SP) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases, but s...

Automated Detection of Pediatric Pneumonia via Clinically Driven AI Analysis of Lung Ultrasound.

Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside...

Systems Biology Identifies TARS2 as a Cardiomyocyte Regulator of Mitochondrial Oxidative Stress in Dilated Cardiomyopathy.

Dilated cardiomyopathy (DCM), a leading cause of heart failure, is characterized by progressive card...

Dual-Sabatier Optima: How Reaction Mechanism Determines Activity Volcano Map of Dual-Atom Catalysts for Oxygen Reduction Reaction.

Dual-atom catalysts (DACs) have demonstrated superior potential in the oxygen reduction reaction (OR...

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be ...

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approa...

Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation.

OBJECTIVE: Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest compute...

Deep feature optimization using fusion of multiple self-supervised learning approaches and filter-based feature selection for lung cancer histopathology classification.

One of the most deadly illnesses in the world is lung cancer, and increasing survival rates require ...

AI-driven discovery of natural product-derived FAK1 inhibitors for idiopathic pulmonary fibrosis.

Machine learning-enabled diagnosis of viral respiratory infections from exhaled volatile organic compound analysis.

Interstitial cation defect chemistry and correlated disorder in melilite solid electrolytes.

Solid electrolytes are fundamental to fuel cells, batteries, sensors and electrolysers. Among them, ...

EPIMETRIC: A cfDNA Methylation-Based Algorithm for COPD Diagnosis and Stratification.

OBJECTIVE: To develop a blood-based algorithm using cell-free DNA (cfDNA) methylation profiles to di...

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver...

Real-Time Evaluation of a Large Language Model for Clinical Practice Guideline Development.

BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM)...

Rehospitalization in Preterm Infants: Machine Learning Prediction Model & Associated Risk Factors.

BACKGROUND AND OBJECTIVES: Preterm birth is a major global health concern, with preterm infants (PI)...

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

There is considerable interest in training machine learning (ML) models on genomic data that achieve...

Prediction of the respiratory disease incidence based on environmental factors using machine learning techniques in Penang, Malaysia.

Traditional statistical models often struggle to accurately predict global burden of respiratory dis...