Pulmonology

Multicentre prospective cohort study to develop and validate a machine learning-based model for predicting 6-month all-cause mortality in elderly patients with advanced chronic obstructive pulmonary disease in China: study protocol.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality prediction, overtreatment and delayed palliative care. Existing prediction models are limited and lack applicability to Chinese elderly patients with advanced COPD. Given the heavy disease burden and limited palliative care in China, we designed this multice...

Artificial Intelligence Tools for Diagnosing the Relationship Between the Inferior Alveolar Nerve and the Third Molar: A Systematic Review.

OBJECTIVE: To evaluate the diagnostic capability of artificial intelligence (AI) compared to human radiographic interpretation in assessing the relationship between the inferior alveolar nerve (IAN) and the third molar. METHODS: The search was conducted in nine electronic databases (PubMed/MEDLINE, EMBASE, LILACS, Web of Science, Scopus, LIVIVO, Computers & Applied Sciences, ACM Digital Library, a...

Integrated transcriptomic analysis identifies liver aging-driven fibrosis signatures and reveals therapeutic strategies based on medicine-food homology.

Despite its strong regenerative capacity, liver aging paradoxically increases susceptibility to fibrosis and metabolic dysfunction-associated steatoti...

Unveiling gene modules at Atlas scale through hierarchical clustering of single-cell data.

A major challenge in single-cell RNA sequencing (scRNA-seq) analysis is recovering biologically meaningful cell ontology trees and conserved gene modu...

A visual analysis of the research dynamics of biomarkers for lung cancer screening.

BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed...

Development of a clinical prediction model using digital device data for interstitial lung disease in patients with unresectable stage III non-small cell lung cancer treated with durvalumab.

BACKGROUND: Early detection of interstitial lung disease including radiation pneumonitis (ILD/RP) is crucial in consolidative durvalumab therapy after...

Emerging applications of traditional and generative artificial intelligence in Liver Transplantation.

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching...

Targeting Tau-Mitochondrial Crosstalk in Alzheimer's Disease: Integrative Multi-Omics and Artificial Intelligence-Driven Tools for the Development of Disease-Modifying Therapeutics.

Alzheimer's disease (AD) is a progressive neurodegenerative illness marked by cognitive impairment, synaptic dysfunction and neuronal death. Tau prote...

Methods for determining indications for antibiotic prescriptions to facilitate antimicrobial stewardship: a scoping review.

BACKGROUND: Effective antimicrobial stewardship (AMS) requires accurate information on the reason for prescribing antimicrobials. To design targeted i...

A review of deep learning-based multimodal data integration of lung cancer.

This is a narrative review that provides a perspective on the recent advances in deep learning (DL)-driven multimodal data integration for lung cancer...

Optimizing Renal Fibrosis Assessment in Patients with Chronic Kidney Disease: Feature and Decision-Level Fusion in Machine Learning Using Clinical and Ultrasound Information.

PURPOSE: Machine learning has been extensively applied in nephrology. This study aims to evaluate and compare the effectiveness of various information...

High-fidelity super-resolution microscopy datasets spanning multispectral to hyperspectral domains via diffractive optics.

Paired datasets are critical for advancing data-driven microscopy but remain scarce for spectral imaging. Here, we present a comprehensive super-resol...

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes ...

Development of a deep-learning model for classification of intensivists' extubation decisions using ventilator graphic monitor images: a prospective observational study.

BACKGROUND: Timely extubation requires advanced expertise and extensive clinical experience; however, intensive care specialists are scarce globally, ...

MicroRNAs in endometriosis: bioinformatics resources, machine learning strategies, and multi-omics perspectives.

BACKGROUND: Endometriosis is a heterogeneous gynecological disorder characterized by chronic pain, infertility, and substantial impairment of quality ...

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, ...

Mean airway pressure as an independent risk factor for developing acute kidney injury in mechanically ventilated critically ill patients: a multi-center retrospective analysis.

Mechanical ventilation is a well-recognized risk factor for acute kidney injury (AKI), but the specific role of mean airway pressure (Pmean) remains i...

Correlation of Patient-Reported Symptoms With Rhinogram Features Beyond Simple Airway Resistance.

INTRODUCTION: Rhinomanometry, a reference measure for the nasal airway, is often considered a research tool with only weak-to-moderate correlations wi...

Machine learning-based prediction of 3-month mortality in elderly patients with non-small cell lung cancer and bone metastases.

Elderly patients with non-small cell lung cancer (NSCLC) and bone metastases face a dire prognosis, creating an urgent need for accurate short-term mo...

Blood Transcriptomic Signatures Distinguish Mycobacterium avium Complex Pulmonary Disease from Colonization: A Multicenter Cohort Study.

AbstractPulmonary infections caused by nontuberculous mycobacteria (NTM), particularly Mycobacterium avium complex (MAC), are increasingly recognized ...