Osteoporosis

An efficient ranking deep neural network algorithm for the prediction of Ca2+ binding sites of the protein.

The Ca2+ binding sites of proteins are critical for their function, particularly in processes such as signal transduction, enzyme regulation, and structural stability. In this study, the calcium-binding sites of NtEhCaBP1 (Entamoeba histolytica calcium-binding protein). This paper proposes Statistical Ranking Deep Learning (SR-ML) to estimate the binding affinities of ten protein variants, The pro...

Diagnostic decision-making, vertebral augmentation, and osteoporosis therapy in vertebral compression fractures: a narrative review.

Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and healthcare utilization worldwide. Although often considered benign, VCFs are associated with chronic pain, progressive spinal deformity, functional impairment, decreased pulmonary capacity, and increased short- and long-term mortality, especially in ...

A Novel Machine Learning-Based Semi-Automated Phantom-Less QCT Model for Osteoporosis Screening on 100 kVp Ultra-Low-Dose Chest CT: A Phantom Study.

RATIONALE AND OBJECTIVES: Opportunistic osteoporosis screening using chest CT is increasingly explored, yet conventional QCT models are calibrated at ...

Sex-Related Performance Disparities in Convolutional Neural Networks for Imaging-Based Assessment of Coronary Atherosclerosis and Ischemic Heart Disease: A Systematic Review.

Sex-related disparities persist in the diagnosis and management of ischemic heart disease (IHD), raising concern that convolutional neural networks (C...

A β-TCP/PMMA composite bone cement promotes osteogenic differentiation of osteoporotic rBMSCs via Wnt/β-catenin pathway.

Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limite...

Machine learning-assisted prediction of 5-year mortality in chronic kidney disease: the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD).

BACKGROUND: Mortality prediction models for patients with non-dialysis chronic kidney disease (CKD) remain limited despite their clinical importance. ...

Biocementation shows a three-dimensional geometry dependence in microfluidic pore networks mapped by deep-learning segmentation.

Microbially induced calcium carbonate precipitation (MICP) can transform granular media into cohesive, load-bearing materials, yet pore-scale design r...

Deep Learning-Based Assessment of Coronary Artery Morphologies for Predicting Responsiveness to Intravascular Lithotripsy.

BACKGROUND: Although intravascular lithotripsy (IVL) has proven effective in facilitating luminal expansion through calcification modification, its ef...

Bioactive glasses as reactive biomaterials: dissolution-driven structure-function relationships and predictive modelling.

Bioactive glasses (BGs) are reactive biomaterials whose biological effects arise from dissolution: ion exchange, pH evolution, surface-layer formation...

Diethylene glycol dibenzoate an emerging plasticizer disrupts bone formation via MMP3 targeting: Insights from bioinformatics and in vitro validation.

DEGDB, also known as diethylene glycol dibenzoate, is a new eco-conscious plasticizer on the block. However, the environmental and health implications...

Neurons Die Not by One Hit, but by Signaling Convergence.

There is an emerging understanding of neurodegenerative diseases as complex diseases with a combination of multiple interrelated signaling pathways as...

Deep learning-assisted mapping of dendritic spines using sequential 2D two-photon calcium imaging.

Neurons transform complex spatiotemporal synaptic inputs into structured action potential sequences. Excitatory inputs initiate or interact with dendr...

The Process Optimization During Biodegradation of Textile Dye in a Fixed-Bed Bioreactor Using Immobilized Shewanella putrefaciens: Response Surface Methodology and Artificial Neural Network Modeling.

The textile wastewater containing refractory and tenacious synthetic dyes poses a greater threat and hazardous impact on both terrestrial animals and ...

A machine learning-based framework for individualized physical activity and strength targets related to women's bone health.

While substantial evidence supports the associations between physical activity and bone health, the present study aims to advance the field by applyin...

AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate whether the artificial intelligence (AI)-quantified mean thoracic skeletal muscle (TSM) attenuation from coronary artery calcium (...

Integrative network pharmacology, transcriptomics, and molecular docking identify candidate Centella asiatica constituents and targets in neurodegenerative diseases.

BACKGROUND: Neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD), are progressive d...

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Clinical justification for osteoporosis investigation: transitioning from opportunistic to diagnostic referrals from alternative forms of imaging.

Clinical justification remains fundamental to the safe use of imaging involving ionising radiation, requiring a favourable balance between diagnostic ...

Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE.

OBJECTIVE: This study aimed to identify the core risk factors for osteoporosis in perimenopausal women and propose an analytical framework based on th...

The Metabolite indole-3-acetic acid of Bacteroides ovatus ameliorates ovariectomy-induced bone loss by activating AhR and inhibiting oxidative stress.

Postmenopausal osteoporosis represents a systemic skeletal condition distinguished by diminished bone mass and heightened skeletal fragility. Emerging...