Pulmonology

Diagnostic value of artificial intelligence based on computed tomography (CT) density in benign and malignant pulmonary nodules: a retrospective investigation.

OBJECTIVE: To evaluate the diagnostic value of artificial intelligence (AI) in the detection and man...

Preparation and Characterisation of Zinc Diethyldithiocarbamate-Cyclodextrin Inclusion Complexes for Potential Lung Cancer Treatment.

Zinc diethyldithiocarbamate (Zn (DDC)), a disulfiram metabolite (anti-alcoholism drug), has shown a ...

Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs.

This study aimed to investigate effects of pulmonary fractalkine (FKN/CX3CL1) on angiogenesis and tu...

Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity.

RATIONALE AND OBJECTIVES: Ex-smokers without spirometry or CT evidence of chronic obstructive pulmon...

Specneuzhenide improves bleomycin-induced pulmonary fibrosis in mice via AMPK-dependent reduction of PD-L1.

BACKGROUND: Pulmonary fibrosis (PF) is an escalating global health issue, characterized by rising ra...

Machine learning models for the early prediction of ventilator-associated pneumonia.

Prospective Antiviral Effect of Aqueous Extract against COVID-19 Infection.

Marine algal extracts exhibit a potent inhibitory effect against several enveloped and non-enveloped...

Automated Retinal Vessel Analysis Based on Fundus Photographs as a Predictor for Non-Ophthalmic Diseases-Evolution and Perspectives.

The study of retinal vessels in relation to cardiovascular risk has a long history. The advent of a ...

TRENDS IN CHOLESTEROL AND LIPOPROTEINS ARE ASSOCIATED WITH ACUTE RESPIRATORY DISTRESS SYNDROME INCIDENCE AND DEATH AMONG SEPSIS PATIENTS.

Objective: Compare changes in cholesterol and lipoprotein levels occurring in septic patients with a...

Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.

Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dos...

RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases.

Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases...

Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT.

OBJECTIVES: To quantify regional manifestations related to COPD as anomalies from a modeled distribu...

Regulatory effects of mangiferin on LPS-induced inflammatory responses and intestinal flora imbalance during sepsis.

Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...

A unified deep learning framework for water quality prediction based on time-frequency feature extraction and data feature enhancement.

Deep learning methods exhibited significant advantages in mapping highly nonlinear relationships wit...

Cognitive workload estimation using physiological measures: a review.

Estimating cognitive workload levels is an emerging research topic in the cognitive neuroscience dom...

potently inhibits the activity of SARS-CoV-2 3CL protease.

The ongoing coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory sy...

Knockdown of Slfn5 alleviates lipopolysaccharide-induced pneumonia by regulating Janus kinase/signal transduction and activator of transcription pathway.

BACKGROUND: In recent years, the incidence of pneumonia has been increasing, which is the main cause...

Expression and significance of serum KL-6 in patients with acute respiratory distress syndrome.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common and serious complication that occ...

Mechanistic analysis of Th2-type inflammatory factors in asthma.

BACKGROUND: The main pathological features of asthma are widespread chronic inflammation of the airw...

Using Signal Features of Functional Near-Infrared Spectroscopy for Acute Physiological Score Estimation in ECMO Patients.

Extracorporeal membrane oxygenation (ECMO) is a vital emergency procedure providing respiratory and ...

Lightweight Techniques to Improve Generalization and Robustness of U-Net Based Networks for Pulmonary Lobe Segmentation.

Lung lobe segmentation in chest CT is relevant to a wide range of clinical applications. However, ex...