Pulmonology

Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation.

OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopul...

Deep learning-based estimation of lung collapse in electrical impedance tomography: A simulation and phantom study.

Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead t...

Assessing mortality risk in pulmonary tuberculosis and severe malnutrition: development of the IIR marker via artificial intelligence.

Pneumonia detection from enhanced chest X-Ray images based on Double SGAN model.

Medical imaging plays a crucial role in clinical diagnosis, however, deep learning models often stru...

Artificial Intelligence Could Predict Chest Tube Drainage Necessity for Spontaneous Pneumothorax.

Artificial intelligence (AI) is increasingly utilized in the medical field, primarily for diagnostic...

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity b...

Development and Validation of a Frailty Risk Prediction Model for Preoperative Non-Small-Cell Lung Cancer Patients: A Cross-Sectional Study.

PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preope...

Bulk and single-cell transcriptomics for identification of potential diagnostic biomarkers associated with pulmonary arterial hypertension and integrated stress response and experimental validation.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a lethal vascular disorder characterized by irr...

A multiscale theory framework predicts size- and ordering-dependent activity in Pt-Cu oxygen reduction reaction catalysts.

Optimizing the oxygen reduction reaction (ORR) performance of Pt-based alloy nanocatalysts requires ...

Microbial community biomarkers can forecast methane production in full-scale anaerobic digesters.

Methane production from wastewater sludge via anaerobic digestion is a complex process and a disturb...

In Situ Transmission Electron Microscopy Visualization of Electric-Field-Induced Phase Transitions at the Morphotropic Phase Boundary in Hf0.5Zr0.5O2.

Understanding electric-field-induced phase transitions is crucial for optimizing the ferroelectric a...

Carbon dot nanoparticles as multifunctional fluorescent probes: from tunable synthesis to biomedical applications.

Carbon dots (CDs) have emerged as highly promising fluorescent nanomaterials due to their exceptiona...

Multi-modal machine learning and molecular modelling reveal structurally diverse inhibitors of Mycobacterium tuberculosis protein tyrosine phosphatase B.

Protein tyrosine phosphatase B (PtpB) is a virulence-associated phosphotyrosine phosphatase secreted...

Unraveling Scaling Relationships in Dual-Atom Catalysts with Electronic Descriptors: A Machine Learning Investigation for OER/ORR Activity.

Dual-atom catalysts (DACs) have emerged as a new frontier in heterogeneous catalysis, offering impro...

Deep Learning-Based Auto-Navigation for Free-Breathing Golden-Angle Radial MRI.

PURPOSE: To develop a deep learning-based auto-navigation technique for free-breathing golden-angle ...

Interpretable machine learning and deep neural networks for ICU admission prediction in paediatric respiratory patients.

RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network.

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health concern, espe...

Development and multicenter validation of a predictive model for malignant pleural effusion recurrence.

Early prediction of malignant pleural effusion (MPE) recurrence within 3 months is essential for opt...

Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma...

Spironolactone and Fibrosis in Heart Failure Risk: Machine Learning Analysis of HOMAGE Trial Plasma Proteomics.

In the HOMAGE (Heart Omics in AGEing) trial, spironolactone reduced serum concentrations of procolla...

Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity.

G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors tha...