Pulmonology

Online Intervention on Lung Cancer Screening Among High-Risk Individuals: Pilot Intervention Study.

BACKGROUND: Lung cancer remains the leading cause of cancer deaths in the United States; however, uptake of lung cancer screening (LCS) with low-dose computed tomography (LDCT) among eligible individuals remains low. Evidence suggests that limited knowledge, stigma, and false health beliefs contribute to the underuse of LDCT screening. OBJECTIVE: This pilot study aimed to examine an online educati...

Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.

BACKGROUND: Digital health offers opportunities for safe, equitable, and accessible care, and its integration into respiratory care is a strategic priority for the European Respiratory Society. However, sustainable implementation remains complex, and guidance for health care systems is limited. OBJECTIVE: This study aimed to undertake a scoping review of the published initiatives that have impleme...

Pulmonary Neuroendocrine Tumor Artificial Intelligence-Assisted Prediction of Postoperative Recurrence from Tumor Biopsy Specimens.

The current WHO (2021) classification of lung neuroendocrine tumors (LNETs) into typical (TC) and atypical carcinoids (AC) relies on resection materia...

Integrative Phenogroups Based on Lung Imaging and Spirometry from Young Adulthood to Midlife and Associations with Subclinical Cardiac Structure and Function.

BACKGROUND: Chronic lung disease and heart failure (HF) commonly co-occur, share modifiable risk factors, and are preceded by a prolonged, heterogeneo...

Atomic-Level Regulation of Peroxymonosulfate Activation on Coal Gangue: Toward Controllable Catalytic Pathways and Enhanced Environmental Resilience.

Upcycling coal gangue (CG) requires addressing the persistent bottlenecks of conventional heterogeneous catalysts, namely active site aggregation and ...

Expert Consensus Statement on Acoustic Metrics for Swallowing Dysfunction Screening in Older Adults: A Delphi Study.

OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspirat...

Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics.

BACKGROUND: Nasopharyngeal carcinoma requires reliable diagnostic biomarkers due to its occult location and poor outcomes. METHODS: This study analyze...

An uncertainty-aware vision transformer-BiLSTM Bayesian framework for reliable clinical decision support using chest X-rays.

Despite recent progress in deep leaning for medical image analysis, there are still issues of reliability, interpretability, and uncertainty estimatio...

The gut microbiome in preterm infants: development, dysbiosis, and disease implications.

SUMMARYPreterm infants face a unique trajectory of gut microbiome assembly, shaped by the convergence of physiological immaturity, necessary clinical ...

Multi-omics analysis identifies GINS1 as a prognostic biomarker in lung adenocarcinoma, linked to macrophage polarization and tumor cell survival.

This study aimed to identify essential genes driving lung adenocarcinoma (LUAD) progression by integrating CRISPR-Cas9 dependency data from the Cancer...

A radio-pathological fusion model for predicting PD-L1 expression and immunotherapy response in non-small cell lung cancer.

OBJECTIVE: This study aims to construct a multimodal fusion model (FM) based on CT and hematoxylin and eosin (H&E) stained slices to predict the PD-L1...

Spectral CT-based intratumoral and peritumoral radiomics for predicting invasiveness of ground-glass nodules in lung adenocarcinoma.

OBJECTIVES: To evaluate the potential of spectral detector computed tomography (SDCT) combined with intratumoral and peritumoral radiomics for noninva...

Integrating machine learning-based molecular design with experimental validation for the discovery of EGFR inhibitors in lung cancer.

The emergence of drug resistance and off-target toxicities in epidermal growth factor receptor (EGFR) targeted therapies underscores the urgent need f...

Accuracy of a Deep Learning Model in Intracardiac Echocardiography.

BACKGROUND: Intracardiac echocardiography (ICE) is widely used during electrophysiology and structural heart procedures; however, image interpretation...

Physics-Informed Koopman-Constrained Implicit Q-Learning for Safe Offline Reinforcement Learning in Mechanical Ventilation.

Mechanical ventilation management in intensive care units requires continuous optimization of ventilator parameters while adhering to clinical safety ...

Multi-omics body-fluid biomarkers in immunoglobulin a nephropathy: Analytical Validation, standardization, and clinical chemistry translation of diagnostic and prognostic Analytes.

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide. Although optimized supportive therapy is administered to these pati...

Multimodal multitask deep learning for grading management system in non-small cell lung cancer.

Accurate histologic subtyping, tumor node metastasis classification (TNM) staging and prognostic assessment are central to clinical management of non-...

Development and validation of a radiomics-dosiomics model for predicting radiotherapy response in locally advanced, unresectable non-small cell lung cancer: a multi-center study.

Early assessment of treatment response is essential for optimizing cancer management, as it allows timely interventions during the course of therapy, ...

Robust artificial intelligence frameworks for lung cancer subtyping and malignancy detection on thoracic CT.

Accurate characterization of thoracic malignancies on computed tomography (CT) remains challenging because histological subtype differentiation and no...

Plasma proteomic signatures of cellular aging predict human disease.

Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses...