Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

6,481 articles
Stay Ahead - Weekly Pulmonology research updates
Subscribe
Browse Specialties
Showing 43-63 of 6,481 articles
Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...

Prognostication in patients with idiopathic pulmonary fibrosis using quantitative airway analysis from HRCT: a retrospective study.

BACKGROUND: Predicting shorter life expectancy is crucial for prioritizing antifibrotic therapy in f...

Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Alt...

Machine learning-driven prognostic and diagnostic models for lung adenocarcinoma using intratumor heterogeneity and multi-omics data.

Intratumor heterogeneity (ITH) significantly impacts cancer prognosis and treatment response. Focusi...

Beyond Presumptions: Toward Mechanistic Clarity in Metal-Free Carbon Catalysts for Electrochemical HO Production via Data Science.

Electrochemical synthesis of hydrogen peroxide (HO) via the two-electron oxygen reduction reaction (...

Longitudinal single-cell RNA model aids prediction of EGFR-TKI resistance.

Resistance is inevitable and a major challenge in treating Lung adenocarcinoma (LUAD) patients with ...

Thrombospondin-2 is a performant biomarker of at-risk MASH and advanced MASH fibrosis in a large multicentre European cohort.

BACKGROUND: Non-invasive biomarkers with biological rationale are needed for identifying patients wi...

AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.

Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diver...

Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.

DNA damage response (DDR) and crotonylation occur frequently in lung adenocarcinoma (LUAD), but thei...

Developing and validating machine learning models to predict next-day extubation.

Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...

A web-based prediction model for brain metastasis in non-small cell lung cancer patients.

BACKGROUND: Brain metastasis (BM) stands as a significant contributor to mortality among cancer pati...

Unsupervised identification of asthma symptom subtypes supports treatable traits approach.

BACKGROUND: Heterogeneity of asthma requires a personalized therapeutic approach. However, objective...

The oral microbiome and its effect on exhaled breath volatile analysis - the elephant in the room.

The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhal...

PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records.

Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Investigation of key ferroptosis-associated genes and potential therapeutic drugs for asthma based on machine learning and regression models.

Bronchial asthma is a complex and heterogeneous disease, with ferroptosis, a form of non-apoptotic c...

Browse Specialties