Pulmonology

Host-focused immunity, metabolism, and diagnostic innovation for precision control of tuberculosis globally.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains one of the deadliest infectio...

Plasma proteomic profiles of lung volume-based phenotypes in Tobacco-Exposed Individuals Without Spirometric COPD.

BACKGROUND: Among individuals with a history of smoking but preserved spirometry (tobacco exposed wi...

Interpretable Machine Learning Uncovers the Dominance of Oxygen Partial Pressure and Crystallinity in Mo-Doped In2O3 Thin Film Growth.

Data-driven approaches have accelerated materials discovery, yet they often remain "black boxes" tha...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in car...

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenatio...

An optimized machine learning model based on hematological indicators for the noninvasive identification of baicalin's therapeutic effects in pulmonary hypertension.

Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder with high mortality, necessita...

Smart Garment for Continuous Respiration Monitoring in Canines.

There is a growing need for at-home respiration monitoring in canines, who are prone to respiratory ...

AI-Assisted Lung Sliding Detection in Point-of-Care Ultrasound by Marine Corps Corpsmen: A Multi-Reader Study.

BACKGROUND: Artificial intelligence (AI) has the potential to address training limitations and inter...

Performance validation of an artificial intelligence-assisted chest radiograph algorithm for incidental pulmonary nodule detection in Malaysian healthcare facilities: a multicentre cross-sectional study protocol.

INTRODUCTION: Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXR...

Clinical value of ultra-low-dose chest CT with deep learning image reconstruction in the detection and characterization of pulmonary nodules.

OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...

GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.

Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD.

Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and...

Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network.

Prediction of high-flow nasal cannula failure in critically ill patients: a narrative review.

High-flow nasal cannula (HFNC) therapy is widely used for respiratory support in critically ill pati...

18F-FDG PET/CT and receptor-positive circulating tumor cells-based machine learning model for predicting poorly differentiated lung adenocarcinoma.

INTRODUCTION: This study aimed to develop and validate a machine learning model that integrates radi...

Tuberculosis Drug Discovery in the Age of Artificial Intelligence.

There is an urgent need to develop additional treatments for tuberculosis (TB) to complement the sma...

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images.

UNLABELLED: Deep learning (DL) has the potential to enable the prediction of gene mutations directly...

Deep-learning-based spectral motion artifact correction on photon-counting cardiac CT images.

Objective.While photon-counting computed tomography (PCCT) improves image quality and reduces radiat...

MycoPermeNet-v2: Improved Prediction of Mycomembrane Permeation Using Fusion Noisy Student Self-Distillation.

Machine learning (ML) techniques offer a promising path for accelerating antibiotic discovery by com...

ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health issue, with limited progress ...

Facile Critical Evaluation of Extensive Lithium-Oxygen Battery Literature Using In-House Data and the Structured Query Learning-Retrieval-Augmented Generation Method.

Lithium-oxygen batteries (LOBs) offer combustion fuel-like energy densities but remain constrained b...