Pulmonology

Harnessing artificial intelligence and machine learning to accelerate structure-based drug discovery for tuberculosis.

TNFAIP3, PADI4, and CXCR4 as biomarkers of neutrophil extracellular traps in severe asthma.

Asthma is a heterogeneous condition impacting an estimated 300 million individuals globally. Althoug...

Efficacy and safety of recombinant human bone morphogenetic protein-2 biomaterials in promoting bone regeneration: A systematic review and meta-analysis.

OBJECTIVES: This study aims to systematically evaluate the efficacy and safety of recombinant human ...

Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.

MRI of the heart and abdominal organs provides unparalleled soft tissue contrast and quantitative bi...

A chalcone-rich extract from licorice root inhibits liver steatosis and fibrosis via regulating PPARα and TGFβ signaling.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major liver disord...

Cardiovascular pulsing-based ultrasound strain imaging with deep learning using paired proximal and distal strain sequences for liver fibrosis detection: a feasibility study.

Accurate assessment of liver fibrosis in the left liver lobe remains clinically challenging due to m...

Targeting key proteins of pleural mesothelioma using plumbagin-indole-3-propionic acid ester: Insights from network pharmacology, molecular dynamics simulation and machine learning-based analysis.

This study explores the network pharmacology (NP) and molecular dynamics (MD) simulation analysis of...

Construction and validation of a machine learning-based risk prediction model for invasive mechanical ventilation in AECOPD patients complicated with respiratory failure.

OBJECTIVE: This study aimed to create and validate a machine learning (ML) model to predict the like...

Accurate Lung Cancer Prediction From CT Scans Using Advanced Deep Learning Methods.

OBJECTIVES: Accurate lung cancer prediction from CT scans using advanced deep learning methods is cr...

Integrating Genomic Data and Imaging in Lung Cancer Prediction Using a Hybrid Deep Learning Approach.

OBJECTIVES: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, und...

A New Proposed Approach to Categorize Sepsis Sub-phenotypes Based on Combined Trajectories of Perfusion Index and Central Venous Oxygen Saturation.

BACKGROUND: Circulatory disturbances in sepsis are heterogeneous but may manifest as a mismatch betw...

Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.

OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outsi...

AI-assisted qualitative analysis of formative feedback to support student-centered learning in physiology.

This study evaluates the effectiveness of large language models (LLMs), specifically Claude Sonnet 4...

Automotive Health 2.0: Steering Toward Proactive Preventive Care.

Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments ...

Proteomic Profiling of Plasma Extracellular Vesicles Combined with Multivariate Modeling Identified Potential Biomarkers for Distinguishing Benign Pulmonary Nodules from Early-Stage Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish...

Computed Tomography-Pathology Deep Learning Model for the Precise Prediction of Recurrence in Pathological Stage IA Lung Adenocarcinoma.

BACKGROUND: The postoperative prognosis of pathological stage IA lung adenocarcinoma (LUAD) exhibits...

Machine Learning-Based Prediction Model for Alveolar Bone Defect Risk Following Orthodontic Treatment.

OBJECTIVES: Alveolar bone defects, such as fenestration and dehiscence, induced by orthodontic treat...

Combining the prognostic values of entropy-based heterogeneity features from 18 F-fluorodeoxyglucose PET and transmission computed tomography using machine learning in patients with lung adenocarcinoma undergoing curative surgery.

OBJECTIVE: The objective of this study is to evaluate the combined prognostic values of 18 F-fluorod...

Deep Learning-Based Risk Factor Analysis for Accurate Prediction of Lung Cancer in High-Risk Populations.

OBJECTIVES: Lung cancer remains a leading cause of cancer-related deaths worldwide, largely due to l...

Integrated assessment of total airway count and pneumonia volume on chest computed tomography as a prognostic biomarker for coronavirus disease.

OBJECTIVES: The clinical relevance of computed tomography (CT)-based airway tree structure is unclea...

Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.

OBJECTIVES: The purpose of this study was to determine the utility of conjugate gradient reconstruct...