Pulmonology

Identification of Key Physicochemical Characteristics Which Influence Epithelial-to-Mesenchymal Transition of Lung Cells after Exposure to Engineered and Natural Stone Dusts via a Hybrid Machine Learning Approach.

Exposure to respirable and inhalable dust from engineered stone is linked to lung diseases such as silicosis and COPD, yet the physicochemical properties affecting epithelial-to-mesenchymal transition (EMT) remain unclear. Here, 41 physicochemical properties were characterized across 30 dust samples and evaluated for associations with EMT progression in A549 lung epithelial cells after 24-h exposu...

[Imaging of eosinophilic pneumonia : Differential diagnosis in radiological practice].

CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heterogeneous clinical presentation and variable computer tomography (CT) patterns. Overlap with infectious, drug-induced, or neoplastic entities poses a diagnostic challenge in radiological practice. STANDARD RADIOLOGICAL METHODS: High-resolution computed tomography (HRCT) is the key imaging modality. Typi...

Development of a lightweight deep learning model for accurate assessment of liver fibrosis in biliary atresia.

Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?

Kidney transplantation is usually the optimal treatment option for patients living with kidney failure given its associations with improved survival, ...

Carboxymethyl Cellulose/Sodium Lignosulfonate Composite Hydrogel with Toughness, Adhesiveness, and Antibacterial Properties for Monitoring Respiration in Heart Failure Patients.

The advancement of personalized medicine is increasingly reliant on wearable health monitoring technologies. While hydrogels offer great promise for s...

Expert-level probabilistic breathing event detector informs phenotyping of sleep apnea.

Diagnosing sleep disordered breathing requires manual annotation of events from sleep studies, such as nocturnal polysomnography, a process that is ti...

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns.

Unraveling the Mechanistic Spectrum of Myhre Syndrome: SMAD4 Signaling Disruption, Skeletal Phenotypes, and Translational Innovation.

Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent heterozygous missense variants in the SMAD4 gene, a cent...

[Changes and Driving Mechanisms of Ecological Vulnerability in Jiangxi Province Based on SRP Model].

Jiangxi Province， as one of the first national ecological civilization pilot zones in China， holds a significant responsibility in ecological protecti...

Utilising unsupervised machine learning to predict outbreaks of respiratory tract infections in acute Irish hospitals (2016-2021).

OBJECTIVES: To apply unsupervised machine learning (ML) to predict outbreaks of respiratory tract infections (RTIs) in acute Irish hospitals (2016-202...

Spatial and multi-omics transcriptomic dissects platinum resistance in lung adenocarcinoma: a five-gene predictive model with tumor microenvironment dynamics.

The scarcity of reliable biomarkers and predictive models for platinum resistance in lung adenocarcinoma (LUAD) poses a significant clinical challenge...

Multi-objective optimization of oxygen transfer and hydrodynamic shear in dual-impeller stirred tanks via integrated computational fluid dynamics and machine learning framework.

Optimizing the structure of stirred bioreactors is crucial to improve the efficiency of biomanufacturing. This study proposes an intelligent design fr...

Dual Framework for Classification and Detection of Third Molar Impaction in Panoramic Radiographs.

BACKGROUND: The surgical extraction of impacted mandibular third molars present significant clinical challenges, where accurate preoperative assessmen...

Current perspectives in cardiogenic shock.

Cardiogenic shock (CS) remains a leading cause of death in intensive cardiac care. Outcomes are limited by delayed recognition of hypoperfusion, heter...

Integrating multi-source data and machine learning to Decipher the psoriasis-COPD comorbidity.

Update on Non-Biological and RNA-Based Therapeutics in Chronic Inflammatory Diseases: Precision Medicine Through Small Molecules.

In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic infla...

Application of machine learning for the diagnosis and prognosis of sepsis-induced acute respiratory distress syndrome: a systematic review and meta-analysis.

Machine learning model predicts prognosis in SARS-CoV-2-infected autoimmune encephalitis patients.

OBJECTIVE: To assess the neurological prognosis of patients with autoimmune encephalitis (AE) after severe acute respiratory syndrome coronavirus 2 (S...

From Ageing Clocks to Organ Networks: Biological Age-Driven Organ Asynchrony and Inter-organ Interactions Shaping Mortality Risk.

Ageing is a multidimensional and heterogeneous process that progresses asynchronously across organ systems. Advances in multi-omics technologies have ...

Machine Learning Models for Posttransplant Lymphoproliferative Disorder (PTLD) Risk Prediction in Thoracic Transplantation.

Posttransplant lymphoproliferative disorder (PTLD) is the second most common malignancy in thoracic transplant recipients and is associated with poor ...