Pulmonology

Prediction model for cardiovascular mortality risk in asthma patients based on machine learning.

BackgroundAsthma is a common chronic respiratory disease, cardiovascular disease (CVD) mortality constitutes a major public health concern. At present, no personalized tools are available to accurately estimate CVD mortality risk in this population. Accordingly, a machine learning model was developed to predict incident CVD mortality of asthma.MethodsData were extracted from NHANES (2007-2012). Pr...

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pneumonia, and endocarditis, and continues to pose a major public health challenge due to escalating multidrug resistance and the absence of an effective vaccine. To address this unmet clinical need, we employed a machine learning-guided reverse vaccinology approach to systematically interrogate the S...

Construction of a diagnostic model for tuberculosis based on long non-coding RNA.

BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based on 'non-sputum' samples to meet global goals for ...

Stratification of viral shedding patterns in saliva of COVID-19 patients.

Living with COVID-19 requires continued vigilance against the spread and emergence of variants of concern (VOCs). Rapid and accurate saliva diagnostic...

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...

AI-assisted multimodal assessment for right ventricular function from echocardiography predicts mortality in patients with pulmonary hypertension and right heart failure.

Right ventricular (RV) strain is an important factor in evaluating RV function. This study aimed to predict mortality in patients with pulmonary hyper...

Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH.

The progression from metabolic dysfunction-associated steatotic liver disease (MASLD) to metabolic dysfunction-associated steatohepatitis (MASH) is a ...

Lactate to albumin ratio predicts one year mortality in ICU patients receiving invasive mechanical ventilation.

The lactate-to-albumin ratio (LAR), a composite biomarker reflecting both inflammatory burden and nutritional status, has been associated with adverse...

An interpretable machine learning model for prediction of significant liver fibrosis in comorbid chronic hepatitis B and nonalcoholic fatty liver disease: a retrospective development and validation study.

Morphological subphenotypes of acute pancreatitis-related acute respiratory distress syndrome.

Synovial transcriptome analysis reveals ShenTong ZhuYu Tang alleviates osteoarthritis by targeting MMP-9 and immune microenvironment.

BACKGROUND: This study aimed to elucidate key molecular alterations in the osteoarthritis (OA) synovial microenvironment through transcriptomic analys...

Impact of a new deep-learning image reconstruction algorithm on potential dose reduction and quality of chest CT images: a phantom study.

PURPOSE: To evaluate the impact of a new deep-learning image reconstruction (DLR) algorithm on image quality and potential dose reduction compared wit...

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expec...

Machine learning and network pharmacology identify keloid biomarkers (AMPH, TNFRSF9) and therapeutic targets (IL6, HAS2) for aloe-derived quercetin.

OBJECTIVE: This study aimed to identify diagnostic biomarkers for keloid and explore potential therapeutic agents from traditional Chinese medicine (T...

Prognostic Significance of Computed Tomography Severity Score for Machine Learning Prediction of Intensive Care Unit Admission in COVID-19 Patients.

OBJECTIVE: The computed tomography-severity score (CT-SS) quantifies the severity of pulmonary involvement and is significantly associated with diseas...

Artificial Intelligence in Pleural Diseases: Current Applications and Next Steps.

Pleural diseases pose a significant burden on healthcare systems due to diagnostic challenges and high costs. Artificial intelligence (AI) has the pot...

Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.

Developing shorter treatment regimens for tuberculosis requires careful characterization of the clinical phenotype, which is defined by patient charac...

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwid...

Segmentation and calculation of lung fibrosis in IPF mice by 2.5D UNet.

BACKGROUND: Idiopathic pulmonary fibrosis significantly threatens patient survival and remains a condition with limited effective treatment options. T...

Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Metals in PM2.5 are closely associated with cardiopulmonary disease endpoints, potentially attributable to ionic species-induced oxidative stress effe...