Pulmonology

Pre-Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model-Enabled Data Extraction.

BACKGROUND: Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision-making. PURPOSE: To evaluate whether pre-imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. STUDY TYPE: Retrospective. POPULATION: 1006 adults undergoing clinical cardiac MR examinations. FIELD STRENGTH/SEQUENCE: 1...

A motor thalamic site in humans that suppresses involuntary breathing without awareness.

Breathing is generated by brainstem respiratory networks but can be controlled and modulated by forebrain activity. The recent clinical adoption of thalamic electrode implantation during intracranial electroencephalography (iEEG) provides a rare opportunity to examine the role of the human thalamus in respiratory control. Here, we tested whether thalamic stimulation alters breathing in 11 patients...

ZFP36-ferroptosis axis as a key renal protective pathway in diabetic kidney disease.

Diabetic Kidney Disease (DKD) is strongly related to ferroptosis, an iron-dependent form of programmed cell death characterized by the accumulation of...

Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.

Oral stem cell research encompasses the study of dental pulp stem cells, periodontal ligament stem cells, regeneration of dental pulp and periodontal ...

Deep learning-based segmentation of enamel, cementum, alveolar bone, and gingiva in periodontal ultrasound images.

OBJECTIVES: To develop a deep learning-based multi-class segmentation model for the simultaneous segmentation of key periodontal structures, including...

AttnEffNet-B4: an attention-augmented EfficientNet-B4 framework with fourier transformation for robust multi-disease diagnosis.

Early and precise disease detection in healthcare plays a vital role for better treatment results, healthier life expectancy, and good quality of care...

A noninvasive urinary microRNA-based assay for early detection of lung cancer and its potential application to prognosis and recurrence monitoring: a case-control study.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with recurrence or cancer-related death occurring even after curative-int...

Beyond chemotherapy: The rise of nucleic acid nanoformulations in personalized lung cancer therapy.

Lung cancer remains the leading cause of cancer-related mortality worldwide, driven by complex crosstalk among genetic, molecular, and environmental f...

Investigation of the use of urinary proteomics in the prediction of childhood asthma.

PURPOSE: Urinary proteomics may help us improve our understanding and classification of asthma. We sought to identify clusters of children based on ur...

Molecular modelling-driven formulation design for targeted pulmonary drug delivery.

Molecular modelling an impactful and trending approach for rational design of pulmonary drug delivery systems. In particular, in silico techniques can...

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

OBJECTIVE: This study evaluates the performance of an artificial intelligence predictive clinical decision support system (CheLSEA) in generating ches...

Non-invasive assessment of left atrial pressure in patients with heart failure: head to head comparison of novel machine-learning based echocardiographic tool with a wireless pulmonary artery sensor.

Macrophage polarization as a therapeutic target in lung diseases: From pathogenesis to precision intervention.

Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease ...

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics and radiomics data to improve diagnostic accuracy...

Metabolomic Atlas of Cardiovascular Diseases: Mapping Shared and Specific Signatures.

BACKGROUND: Cardiovascular disease (CVD) remains the leading global cause of death. While metabolic dysregulation is central to CVD pathogenesis, the ...

Exploring the potential targets and mechanisms of malachite green induced lung adenocarcinoma through network toxicology and molecular docking.

Malachite green (MG), a synthetic dye, has turned into a major risk to human health, because of its toxicity of teratogenic, genotoxic, carcinogenic, ...

Automated Classification of Alveolar Bone Defects for Preoperative Augmentation Planning Using Deep Learning.

OBJECTIVES: Determining alveolar bone deficiencies prior to dental implant surgeries is critical for surgical planning. This study aimed to develop a ...

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intensive care unit (ICU). However, evidence to support ...

Clustering by patients-related characteristics identifies specific phenotypes with different prognosis after resection of non-small cell lung cancer: a French nationwide study from the Epithor database.

INTRODUCTION: Lung cancer remains the leading cause of cancer mortality worldwide despite advances in treatment. Patient-related factors beyond tumour...

Predicting primary resistance to third-generation EGFR-TKIs in lung adenocarcinoma using a multisource cross-modal transformer model.

The aim of this study was to investigate the utility of a multisource cross-modal Transformer (MC-Trans) model in predicting primary resistance to thi...