Pulmonology

Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.

Immune check-point inhibitors (ICIs) have outstandingly changed the treatment for lung cancer patients providing longer progression-free (PFS) and overall survival (OS). Immune-related adverse events (irAEs) counteract this success, and different biomarkers are broadly investigated to predict their appearance. Hematologic predictive biomarkers for irAEs are extensively studied to better prevent, m...

Integrative multi-omics reveals NQO1-mediated airway epithelial injury as a key mechanism of bisphenol A-induced COPD.

Bisphenol A (BPA) is a ubiquitous environmental pollutant, but its relationship with chronic obstructive pulmonary disease (COPD) and the underlying toxicological mechanisms remain unclear. To address this, we employed an integrative multi-omics strategy that included cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data, Mendelian randomization, network to...

Continuous imputation of blood gas and metabolic panel laboratory values in the intensive care unit using machine learning.

We developed machine learning (ML) models to perform continuous hourly prediction of arterial blood gas (ABG) and basic metabolic panel (BMP) laborato...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is...

Effect of CT Acquisition Parameters on RetinaNet-Based Lung Nodule Detection: A Physics-Guided Validation Study Across Dose, Slice Thickness, and Reconstruction Kernel.

RATIONALE AND OBJECTIVES: Computed tomography acquisition parameters, including dose level, slice thickness, and reconstruction kernel, vary substanti...

Thoracic ultrasound elastography in pleural and subpleural diseases: a narrative review.

Ultrasound elastography measures tissue stiffness and has demonstrated clinical utility across multiple medical specialties. In respiratory medicine, ...

An explainable multi-label Diagnostic Prediction Model for lung diseases based on proteomic biomarkers.

OBJECTIVES: Differential diagnosis of pneumonia, tuberculosis, and lung cancer is highly challenging due to overlapping clinical presentations and hig...

An interpretable ensemble learning framework for COPD classification using population-based clinical and laboratory data from NHANES.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) represents the third leading cause of death globally, affecting 213.39 million people, yet ...

Development of a risk prediction model for rheumatoid arthritis-associated interstitial lung disease based on interpretable machine learning.

OBJECTIVE: This study constructed a predictive model for interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) and explored the v...

Recent advances in understanding surface reconstruction for oxygen evolution reaction electrocatalysts: insights from density functional theory.

Surface reconstruction has emerged as a defining feature of oxygen evolution reaction (OER) electrocatalysts because many materials operate not as the...

Predicting gingival embrasure risk after invisible orthodontics using multimodal data and machine learning.

OBJECTIVE: To develop and validate a risk prediction model for gingival embrasures after clear aligner therapy using multimodal oral data. METHODS: A ...

CT-based Intratumoral Heterogeneity Score for Preoperative Prediction of Lymphovascular Invasion and Prognosis in Lung Adenocarcinoma: A Multicenter Validation and Radiogenomic Interpretation.

BACKGROUND: Lymphovascular invasion (LVI) is a key determinant of recurrence and survival in lung adenocarcinoma (LUAD), but preoperative identificati...

AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models.

Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fibrosis is crucial for understanding disease mechan...

Cost-Effectiveness and Budget Impact of Lung Cancer Screening: A Systematic Review.

INTRODUCTION: Clinical trials have demonstrated the benefits of early detection of lung cancer (LC); however, the implementation of national LC screen...

Keratin gene expression signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

Keratins (KRTs) are intermediate filament proteins expressed in epithelial cells and serve as diagnostic cancer biomarkers. They serve pivotal roles i...

Prognostic value of nutritional and inflammatory biomarkers in patients with non-small cell lung cancer and bone metastasis: A retrospective study.

To evaluate the prognostic significance of nutritional-inflammatory biomarkers in non-small cell lung cancer (NSCLC) patients with bone metastases. Th...

Enhancing venous thromboembolism risk prediction after immunotherapy for lung cancer.

Assessing venous thromboembolism (VTE) risk after immunotherapy remains important for lung cancer management. We analyzed 2,300 patients receiving fir...

Limited impact of CT-based breast tissue composition on skin toxicity, fibrosis, edema and liponecrosis prediction after moderately hypofractionated whole-breast radiotherapy.

BACKGROUND: The study assessed the role of CT-based breast tissue composition in predicting toxicities after moderately hypofractionated whole-breast ...

EM-AWFNet: dual-branch adaptive weight fusion for lung cancer PET/CT classification.

Lung cancer (LC) is a malignant tumor that poses a serious threat to human health. Positron emission tomography/computed tomography (PET/CT) imaging, ...

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts.

Oxygen reduction and evolution reactions (ORR and OER) are key electrochemical processes central to energy conversion and chemical transformation. How...