Pulmonology

Radiomics for Differentiating Autoimmune-Related Interstitial Lung Disease from Idiopathic Pulmonary Fibrosis: A Narrative Review.

Interstitial lung disease (ILD) represents a wide variety of lung diseases, commonly resulting in ir...

Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.

Circulating cell-free DNA (cfDNA) has firmly established itself as a cornerstone of liquid biopsy, a...

Accelerated Reduced Field of View T2-Weighted Imaging of Pancreaticobiliary Disorders Using Deep Learning-Based Reconstruction: Reduction of Acquisition Time and Improvement of Image Quality.

BACKGROUND: Reduced field-of-view (rFOV) T2WI improves in-plane spatial resolution. Deep learning-ba...

Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy.

Atomistic structures of materials offer valuable insights into their functionality. Determining thes...

Urine Proteomics Identifies Biomarkers for Diagnosis and Fibrosis Severity in Pediatric Chronic Pancreatitis.

INTRODUCTION: Reliable biomarkers for the diagnosis of chronic pancreatitis (CP) and pancreatic fibr...

Neuroimmune Cross-Talk and Multilevel Cascades in Fentanyl Toxicity: Interplay of Hypoxic Stress, Glial Activation, and Synaptic Dysregulation in Systems-Level Neurodegeneration.

Fentanyl, an ultra-potent synthetic opioid, has traditionally been characterized by its acute toxic ...

Analysis of differential photoplethysmography signal patterns in apnea and hypopnea.

OBJECTIVE: Photoplethysmography, a non-invasive optical technique that measures changes in blood vol...

Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Its tende...

Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomes.

Proteins that impact phenotype and disease are often approximated by RNA expression, which poorly in...

Role of WNK4 and FKBP5 in asthma: Insights from bioinformatics analysis, machine learning, and preliminary validation.

BACKGROUND: The complex and heterogeneous molecular mechanisms of asthma are currently unclear, and ...

Machine Learning-Guided Coordination Engineering of M-N-C Single-Atom Electrocatalysts for Superior Oxygen Reduction.

Precisely tailoring metal-nitrogen-carbon (M-N-C) single-atom catalysts (SACs) with high catalytic a...

Cross-sensor spectral fusion for coastal water physicochemical assessment using optimized ensemble machine learning approaches.

Rising coastal pollution has increased use of remote sensing-machine learning monitoring frameworks....

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently ...

Angioimmunoblastic T-cell lymphoma with lymphomatous effusion: Diagnostic challenges and cytology-based approaches.

Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor pr...

Novel proteomic subtypes of frailty with distinct molecular patterns and prognosis.

OBJECTIVES: The frailty phenotype has limitations in capturing the biological heterogeneity of the c...

Advanced Technologies for the Diagnosis of Pulmonary Tuberculosis Using Exhaled Breath Samples: A Systematic Scoping Review.

OBJECTIVES: Non-invasive methods based on exhaled breath samples have emerged as promising alternati...

Reply to comment on "medication-based mortality prediction in COPD using machine learning and conventional statistical methods".

Automatic and accurate auxiliary detection of lung cancer pathological classification based on novel lightweight deep learning model.

BACKGROUND: Lung cancer is one of the major cancers worldwide, and rapid, accurate diagnosis is cruc...

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images.

Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor orig...

'See' through the surface: surface-derived three-dimensional AI-driven real-time imaging solution for intra-treatment image guidance.

Respiratory motion is a long-standing challenge for lung stereotactic body radiotherapy (SBRT), part...

Recapitulating lung cancer metastasis in vitro: Advances in organoid models and challenges in clinical translation (Review).

Lung cancer remains a significant global health challenge, with metastatic progression being the lea...