Osteoporosis

Impact of scanning parameters on deep learning coronary artery calcium scoring in non‑gated chest CT.

Breast Arterial Calcification on Mammography and Cardiovascular Outcomes in Women: A Meta-analysis.

Breast arterial calcification (BAC) is commonly observed on screening mammography and may provide a low-cost opportunistic marker to enhance cardiovascular risk assessment in women, in whom cardiometabolic risk is often underrecognized by traditional scores. We performed a PRISMA-guided systematic review and meta-analysis of PubMed, Embase, Scopus, and ClinicalTrials.gov through April 30, 2025, to...

Influence of computed tomography reconstruction algorithms on coronary artery calcium scores and reader agreement.

BACKGROUND: Coronary artery calcium scoring (CACS) is central to cardiovascular risk stratification. Differences between reconstruction algorithms may...

FTO-CHRM3 axis regulates multiple myeloma progression: a machine learning-based identification.

BACKGROUND: Fat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, but its action mechanisms are poorly understood. MET...

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even in the absence of vertebral fractures, suggesting t...

Regulation of calcium homeostasis by S100A12 drives NETosis in chronic kidney disease.

Chronic kidney disease (CKD) is characterized by persistent renal injury and inflammation. Although S100A12 is associated with inflammatory states, it...

Targeting autophagy in Duchenne muscular dystrophy: mechanistic insights and emerging therapeutic strategies.

Duchenne muscular dystrophy (DMD) is a severe X-linked myopathy characterised by progressive skeletal and cardiac muscle degeneration, loss of ambulat...

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-risk, complex populations like postmenopausal wome...

Dense and distributed neuropeptide network in the nerve net of Hydra vulgaris.

Neuroscience has long emphasized synaptic transmission and physical wiring as the substrate of brain function and behavior. However, an additional lay...

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as substantial global public health challenges, with ...

Advancing diagnostic equity through artificial intelligence chest radiograph screening for osteoporosis in Asian populations.

Early identification of abnormal bone mineral density (BMD) through opportunistic screening is critical for preventing osteoporotic fractures. We vali...

Identification and validation of NETs-associated biomarkers in osteoporosis with diabetes.

Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular traps (NETs) serve as key components of the innate...

A metabolomics-driven machine learning model for osteoporosis risk prediction.

Osteoporosis, marked by decreased bone mineral density (BMD), poses a major public health concern by increasing fracture risk, lowering quality of lif...

Metabolic profiling identifies fertility markers in bull sperm†.

Early and accurate assessment of bull fertility is critical for the success of artificial insemination (AI) programs in cattle production. However, cu...

Temporal and Cell-Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1.

Disruptions in chromatin remodelers and synaptic proteins represent major genetic risk factors for autism spectrum disorder (ASD), yet how these disti...

Explainable machine learning for postoperative respiratory failure prediction in open-heart surgery patients - a study based on the MIMIC-IV database.

BACKGROUND: Postoperative respiratory failure (PRF) is a severe complication after open-heart surgery, associated with increased mortality and prolong...

Use of artificial intelligence and radiomics for diagnosis and prediction of osteoporotic fractures: a systematic review.

AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually, leading to significant healthcare and economic bu...

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks.

OBJECTIVE: Drug-resistant epilepsy (DRE) affects approximately one-third of patients with epilepsy. The molecular heterogeneity underlying DRE remains...

Integrated network toxicology and computational profiling of acetyl tributyl citrate-related mechanisms in Alzheimer's disease.

BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized neurotoxic effects.ObjectiveWe integrated network...

Recent developments in pharmacophore-based modeling of Ca2+/Calmodulin-dependent protein kinase II delta (CaMkIIδ) inhibitors for heart failure therapy.

INTRODUCTION: Calcium/calmodulin-dependent protein kinase II delta (CaMKIIδ) regulates cardiac excitation - contraction coupling and contributes to he...