Osteoporosis

Preventing fragility fractures: AI-based opportunistic osteoporosis detection in routine CT ​.

UNLABELLED: This study shows that an artificial intelligence tool can identify patterns of reduced bone mineral density in routine CT scans that would otherwise remain unreported. Compared to radiologists, the AI system flagged substantially more cases with potential signs of reduced bone mineral density, offering a scalable approach to support earlier identification of individuals who may benefit...

Apigenin Alleviates Ligamentum Flavum Ossification by Dual-Targeting CA9 and CDK6 and Modulating Calcium/PI3K-Akt Signaling.

While apigenin shows therapeutic potential for bone-related disorders like osteoporosis and osteoarthritis, its mechanisms in regulating ligamentum flavum ossification (OLF) are unclear. An integrated computational strategy combining network pharmacology, machine learning, and molecular docking was used to study apigenin's therapeutic potential for OLF. First, differential gene expression profilin...

Osteosarcopenia Revisited: From Mechanisms to Management.

Sarcopenia and osteoporosis are characterized by insufficient mass and function of skeletal muscle and bone, and often co-occur in older persons, a co...

Targeting GLS and LPIN2 in renal fibroblasts: potential therapeutic targets for kidney stone disease identified by integrated multi-omics analysis.

Kidney stones (KS) are a common urological condition, the aetiology of which remains incompletely understood. This study aimed to investigate the key ...

Ensemble DNA methylation clock demonstrates Immune-metabolic Aging signatures associated with Mortality.

Aging is a multifactorial process that is best described in terms of the progressive acquisition of multiple layers of phenotypic changes, such as epi...

Abdominal vascular calcification at CT: opportunistic quantification and imaging-based risk stratification.

Abdominal vascular calcification is increasingly recognized as a clinically relevant marker of systemic atherosclerotic burden and regional vascular d...

Coronary Artery Calcification: Contemporary Diagnosis from Invasive Imaging to Percutaneous Treatment.

Coronary artery calcification (CAC) represents a significant challenge in contemporary interventional cardiology, substantially affecting percutaneous...

Updates on Imaging Modalities for the Diagnosis of Aortic Stenosis.

Aortic stenosis (AS) is the most common degenerative valvular disease in elderly patients and is linked to high morbidity and mortality. Accurate diag...

Nanostructured Zirconia Thin Films as a Neurogliomorphic Interface for Neural Cells of Central and Peripheral Nervous Systems.

Recent advances in neuroscience have highlighted the central role of glial cells, particularly astrocytes, in regulating neural network activity throu...

Multicenter External Validation of an AI-Based Funduscopic Carotid Atherosclerosis Score and Assessment of Its Association With Coronary Artery Calcification: External Validation Study.

BACKGROUND: Screening for atherosclerosis is essential for early intervention, but conventional screening methods are often invasive and resource-inte...

Osteoporosis prediction in primary Sjögren's syndrome: development and external validation of a machine-learning comparison model.

OBJECTIVES: Osteoporosis and fragility fractures are clinically important complications of primary Sjögren's syndrome (pSS) that may accelerate functi...

Development and validation of a comprehensive prognostic model for 28-day ICU mortality in non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database.

BACKGROUND: Due to the complex pathophysiology of non-traumatic subarachnoid hemorrhage (SAH), accurate risk prediction remains a challenge. Our aim i...

Machine learning-derived serum carbon dioxide trajectories in predicting prognosis of patients with acute aortic dissection.

JOURNAL/mgres/04.03/01612956-990000000-00114/figure1/v/2026-08-19T154102Z/r/image-tiff Venous partial pressure of carbon dioxide (PvCO2) indicates pos...

Exploring the causal relationship and pathogenesis of intracranial aneurysms with osteoporosis based on Mendelian randomization and bioinformatics study.

INTRODUCTION: Intracranial aneurysms (IA) and osteoporosis (OP) are both common conditions among the elderly population. Observational studies suggest...

Integrating Cardiovascular Screening in Lung Cancer Screening.

Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...

Graph theory identifies altered prefrontal microcircuit organization in Shank3 mice, a mouse Model of autism.

Graph theory provides unique tools to assess complex networks. It has been previously used with functional magnetic resonance imaging (fMRI) datasets ...

AI-derived opportunistic screening using chest radiographs identifies age- and sex-associated bone mineral density patterns and supports earlier osteoporosis evaluation.

UNLABELLED: AI-derived opportunistic screening using routine chest radiographs was evaluated in 6,028 adults and internally validated against DXA in a...

Assessing the prognostic value of artificial intelligence for opportunistic prediction of coronary artery calcium score on routine non-gated computed tomography in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICI) improve cancer outcomes but are associated with increased atherosclerotic cardiovascular risk. Opportun...

Associations of Iron Indicators with Cognitive Impairment Risk in Postmenopausal Women: Evidence from a Matched Case-Control Study and Back Propagation Neural Network Model.

Iron is essential for normal cognitive function, and women have nearly twice the age-matched prevalence of cognitive impairment compared with men. The...

Genome-wide machine learning analysis of anosmia and ageusia with COVID-19.

The COVID-19 pandemic has caused substantial worldwide disruptions in health, economy, and society, manifesting symptoms such as loss of smell (anosmi...