Pulmonology

Dysregulated neural coding in the vagus nerve during long sepsis.

Sepsis is a life-threatening condition characterized by organ dysfunction resulting from the body's ...

Can we predict the future of respiratory failure prediction?

BACKGROUND: Mortality in patients with acute respiratory failure remains high. Predicting progressio...

Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning.

With the rapid progress in artificial intelligence (AI) and digital pathology, prognosis prediction ...

From PDMS-based exposure profiling to machine learning-predicted serum concentrations: SVOC exposure disparities across occupational and environmental scenarios.

Occupational exposure to semi-volatile organic compounds (SVOCs) among various population groups has...

Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms.

AIMS: To study programmed death ligand 1 (PD-L1) expression and tumour infiltrating lymphocytes (TIL...

Innovative technologies and their clinical prospects for early lung cancer screening.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, due to lack...

Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study.

BACKGROUND: Varicella is a prevalent respiratory infectious disease. Continuous monitoring is essent...

Demarcating the Development of Cirrhosis and Its Complications via Plasma Proteomic Features in an Asymptomatic Population.

The early detection of liver cirrhosis and its complications is a conundrum in clinical practice. We...

Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare co...

Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has furth...

High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.

To develop motion-resolved volumetric MRI with 1.1 mm isotropic resolution and scan times <5 min usi...

Precision Medicine and Machine Learning to predict critical disease and death due to Coronavirus disease 2019 (COVID-19).

INTRODUCTION: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Di...

Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes.

OBJECTIVES: The early diagnosis and immunoregulatory mechanisms of active tuberculosis (ATB) and lat...

Identifying Clinical Research Priorities in Interventional Pulmonary: An Interventional Pulmonology Outcomes Group (IPOG) Working Group Report.

The field of Interventional Pulmonology suffers from a paucity of methodologically robust studies to...

Prediction of Acute Kidney Injury in Critically ill Patients with Community-Acquired Pneumonia Using Machine Learning.

BackgroundThe incidence of acute kidney injury (AKI) is increased in patients with community-acquire...

Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet rema...

Artificial intelligence-powered interpretation of lung function in interstitial lung diseases.

Unmet needs of patients with COPD in Germany: a retrospective, cross-sectional study.

BACKGROUND: Earlier diagnosis and treatment of COPD, particularly preventing exacerbations, are key ...

A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients.

OBJECTIVE: This study aims to develop a customized severity adjustment tool for hospital deaths in p...

Signature gene expression model for quantitative evaluation of MASH-like liver injury in mice.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a spectrum of chronic pathologic...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...