Pulmonology

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of breakthroughs over the past decade. We report the outcomes and key insights from an open science community blind challenge focused on computational methods in drug discovery, using lead optimization data from the AI-driven Structure-enabled Antiviral P...

Mothers against decapentaplegic homolog 4 as a proteomic hub in vascular remodeling and residual cardiovascular risk.

Translational cardiovascular medicine increasingly relies on systems-level approaches to uncover therapeutic targets that bridge molecular mechanisms and clinical outcomes. Recent proteomic analyses in experimental myocardial infarction models highlight how modulation of multiple protein networks can confer cardioprotection, emphasizing the complexity of post-infarction remodeling. Among this syst...

Artificial Intelligence-Assisted Diagnosis of Pulmonary Nodules in Lung Cancer Screening: Point-An Evolving Capability That Will Strengthen Screening Practice.

Artificial Intelligence-Assisted Diagnosis of Pulmonary Nodules in Lung Cancer Screening: Counterpoint-False Positives, Workflow Disruption, and the Enduring Role of Radiologists.

Application research on surveillance and predictive modeling of respiratory diseases in Baise City based on meteorological big data analysis.

Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have applied high-resolution environmental data and ad...

Machine learning approaches to predict the risk of tuberculosis among household contacts of index TB patients in Central Ethiopia.

Specific diagnostic model for bacterial pneumonia constructed by combining multiple omics and multi machine learning models.

Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by other pathogens in clinic, the research for new bio...

Antiviral drug discovery and development: challenges and future directions.

The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the development of therapeutic interventions targeting seve...

AI based prediction of severe exacerbation in Asian bronchiectasis patients using the KMBARC registry.

Based on single-cell and transcriptome analysis of inflammatory pathway biomarkers and their molecular mechanisms in chronic obstructive pulmonary disease.

BACKGROUND: Systemic inflammation in chronic obstructive pulmonary disease (COPD) presents significant therapeutic challenges. Our study employs integ...

Inference of drowning sites of cases in the Pearl river based on microbial community profiling and random forest algorithm.

Accurate inference of drowning sites remains a critical challenge in forensic investigations, particularly for corpses recovered from dynamic aquatic ...

Explainable multimodal deep learning models for variable-length sequences in critically ill patients.

OBJECTIVE: Deep learning models have shown strong performance in predicting clinical events in critical care using structured electronic health record...

Salvianolic acid C attenuates liver fibrosis and inhibites hepatic stellate cell activation by targeting FAP/TβRI/SMAD axis.

BACKGROUND: Liver fibrosis remains a major clinical challenge with limited effective therapeutic options. Salvianolic acid C (SAC), a major water-solu...

LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery.

Integrating AI with robotics offers a promising approach to molecular discovery and optimization, enabling efficient exploration of vast chemical spac...

Real-Time MRI With Deep Learning for Efficient Evaluation of Neuromuscular Breathing Impairment.

Efficient detection of breathing impairment is critical for treatment and prognosis in neuromuscular disorders. However, standard pulmonary function t...

Transcriptome Profiling of Peripheral Blood for Inflammatory Subtype Classification and Diagnostic Model Construction in Asthma.

OBJECTIVE: This study aimed to identify inflammatory subtypes of asthma using peripheral blood transcriptomics and to derive candidate biomarkers supp...

From guidelines to algorithms: the future of AI-augmented asthma care.

PURPOSE OF REVIEW: Artificial intelligence (AI) has emerged as an increasingly accessible and influential resource within both public and clinical dom...

Non-pharmacological treatment of AECOPD.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterized by rapid worsening of dyspnea, cough, and sputum...

Longitudinal multisource clinical model for early lung cancer risk stratification and screening.

OBJECTIVES: Lung cancer is the leading cause of cancer-related mortality worldwide, with poor prognosis largely due to late-stage diagnosis. Current s...

Predicting low oxygen in patients with acute COVID-19 infection isolating at home: a clinical prediction model.

RATIONALE: Identifying patients who could be safely managed at home versus those needing hospitalisation was a particular concern during early COVID-1...