Osteoporosis

Calcium carbonate in drug delivery: functional carrier design, applications, and data-driven perspectives.

INTRODUCTION: Calcium carbonate particles are a very potent type of inorganic drug delivery carriers, which have attractive pH responsiveness, strong mechanical properties, and a relatively high loading capacity. Adding organic constituents, like hydrogels, to calcium carbonate particles results in hybrid carriers, where the size, loading capacity, and release profiles can be controlled with highe...

Integrated multi-omics profiling of wooden breast reveals energy metabolism dysfunction and RHOA/ROCK pathway activation.

Wooden breast (WB) is a prevalent meat quality defect in broilers, characterized by muscle hardness, and reduced functionality. To investigate its molecular basis, we applied an integrated multi-omics strategy combining untargeted metabolomics, proteomics, and phosphoproteomics. By integrating these datasets, our study offers more comprehensive understanding of the protein and signaling landscape ...

Evaluating an Artificial Intelligence software for opportunistic low bone mineral density and osteoporosis screening: a validation study.

Despite the profound prevalence and fracture risk of osteoporosis, access to the gold standard DXA scans remains limited, especially in rural communit...

Multifactor machine learning models for predicting urinary tract infections: a pilot study.

PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone health, also regulates innate and adaptive immunity ...

Evaluating the cost-effectiveness of artificial intelligence-enhanced osteoporosis screening in men and women using routine chest radiographs in South Korea.

South Korea, now a "super-aged" society, faces a rising burden of fragility fractures, yet underdiagnosis remains a major barrier, with limited DXA ac...

Development and Validation of an Interpretable Machine Learning Model for Predicting Early Fusion After Anterior Cervical Discectomy and Fusion.

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and preliminarily validate a machine learning (ML) model for p...

Calcium signaling in crops.

Calcium (Ca2+) signaling is integral to nearly all aspects of plant biology, including development and responses to biotic and abiotic stresses. It op...

Sex-specific cardiovascular risk prediction using AI-derived epicardial adipose tissue measurements on CT calcium scoring exams.

BACKGROUND: The Agatston CAC score from CT-calcium scoring (CTCS) is a standard guideline recommended measure for cardiovascular risk assessment that ...

Statin-Induced Decade-Long Stabilization of Noncalcified Coronary Plaque Despite a Zero Calcium Score.

BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed...

Enhancing vertebral fracture prediction using multitask deep learning computed tomography imaging of bone and muscle.

OBJECTIVES: To develop and externally validate a computed tomography (CT)-based multitask learning model to predict fracture risk. MATERIALS AND METHO...

Development of an explainable machine learning model to reproduce and interpret expert pharmacological decisions in osteoporosis treatment.

The management of osteoporosis in real-world clinical practice is highly heterogeneous, reflecting the complexity and variability inherent in therapeu...

Identification of common genetic features and pathways for osteoporosis with frozen shoulder by integrated bioinformatics analysis and machine learning.

Frozen shoulder (FS) and osteoporosis (OP) are common age-related degenerative diseases, occurring more frequently in females, which suggests potentia...

Attention-based deep learning for immunoglobulin typing from electrophoresis and laboratory data.

BACKGROUND: Interpretation of immunotyping results from serum protein electrophoresis (SPE) remains labor-intensive and subject to inter-observer vari...

Effects of Real-Time Notification of AI-Detected Incidental Coronary Artery Calcium on Statin Prescription: The NOTIFY-PICTURE Trial.

Predictive value of dynamic creatinine cumulative exposure and trajectory classification onmortality in severe acute pancreatitis: a multicenter retrospective cohort study.

AIMS: This study aims to evaluate the predictive value of cumulative creatinine exposure (CumCr) and dynamic creatinine trajectories for severe acute ...

Combination of artificial intelligence and chest computed tomography to assess bone mineral density.

OBJECTIVES: To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic chest CT for osteoporosis/osteopenia screening in a ...

Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.

OBJECTIVES: To develop and do multicenter validation on an algorithm that screens for osteoporosis from abdominal CTs. METHODS: This is a diagnostic a...

Use of neural networks to predict a potential osteoporotic metabolic condition based on the panoramic mandibular index.

OBJECTIVE: This study investigates the use of neural networks to predict potential osteoporotic metabolic conditions using the Panoramic Mandibular In...

Evaluating bone density with ultrasonic backscatter: Leveraging time-frequency analyses and convolutional neural networks.

Osteoporosis is a disease characterized by decreased bone density and increased fracture risk. This study proposes a convolutional neural network (CNN...

Structure and function of voltage-gated sodium channel Nav1.6: Involvement in the pathological process of neural injury.

The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitabi...