Osteoporosis

DNA demethylation of ANXA4 is associated with atrial fibrillation risk through myeloid immune mechanisms: evidence from Mendelian randomization and multi-omics analyses.

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia affecting millions of patients globally....

Targeting dysregulated glycolysis in type 2 diabetic osteoporosis: Identification of a diagnostic gene signature and therapeutic validation of calcifediol.

Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized...

Mechanisms linking primary biliary cholangitis and osteoporosis: A combined clinical and molecular analysis.

Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis ...

Nomogram and machine learning models for predicting the risk of delirium in ICU patients with NSTEMI.

Delirium is a frequent and clinically consequential complication among patients admitted to the inte...

Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.

To systematically evaluate and compare the performance of large language models (LLMs) in answering ...

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.

The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates...

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) ther...

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched f...

Comment on "Integrating machine learning into fracture liaison services: toward precision risk stratification in osteoporosis care: a prospective cohort study".

Accuracy and precision of automated kidney stone detection on CT.

BACKGROUND: While computed tomography (CT) is the preferred imaging modality for kidney stone detect...

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it r...

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fractur...

Machine learning combined with WGCNA reveals potential calcium uptake-associated biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characteri...

Molecular arms race classifier for decrypting venom peptide and ion channel interactions.

Animal venoms comprise an astonishing number of peptides, proteins and small molecules. The diversit...

MultiScaleKANNet: a hybrid CNN-KAN-transformer architecture for radiographic bone-loss risk stratification from knee X-rays.

Osteoporosis is underdiagnosed because dual-energy X-ray absorptiometry (DXA) is costly and scarce. ...

EJHF expert consensus statement on the diagnosis and management of hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause ...

Machine learning prediction for menopause women with low bone mass: a multicenter and retrospective study.

Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractur...

Development of AI-assisted 3D-printed degradable hydrogel microneedles for transdermal delivery of progesterone-loaded solid lipid nanoparticles: a novel approach to slowing Alzheimer's disease progression.

Progesterone (PG) is used to slow the progression of neurodegenerative diseases, particularly Alzhei...

Opportunistic screening for osteoporosis using chest X-rays and deep learning: A systematic review and meta-analysis.

PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest ra...

An intelligent auxiliary diagnostic system for early osteoporosis screening using stacking ensemble learning.

Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model-Generated Patient Information in Geriatrics: Cross-Condition Study.

BACKGROUND: Large language models (LLMs) are increasingly used to generate patient-oriented medical ...