HRT

Emerging Trends in the Integration of Nanotechnology and 3D Printing for Next-Generation Drug Delivery Systems.

OBJECTIVE: To provide a comprehensive overview of three-dimensional (3D) printing as an emerging manufacturing approach in pharmaceutical and biomedical sciences, with a focus on its role in developing advanced and personalized drug delivery systems. SIGNIFICANCE OF REVIEW: 3D printing offers significant advantages over conventional manufacturing techniques by facilitating precise control over dos...

AI for Opportunistic Identification of BMD and Bone Microarchitecture: A Narrative Review.

Artificial intelligence (AI) has rapidly transformed the potential for opportunistic assessment of bone mineral density (BMD) and bone microarchitecture from routinely acquired imaging. This narrative review synthesizes recent advances across radiography, computed tomography (CT), and magnetic resonance imaging (MRI), focusing on AI-driven methods for automatic extraction of bone quality markers. ...

Development of a Multimodal Machine Learning Model for Predicting Second Osteoporotic Vertebral Compression Fractures.

PURPOSE: Osteoporosis increases the probability of osteoporotic vertebral compression fractures (OVCF), and the resultant pain severely limits physica...

Graph attention-guided multi-modal learning for high-throughput screening of environmental chemicals associated with breast cancer risk.

The rapid expansion of chemical production and use has increased human exposure to environmental chemicals that can impact biological pathways relevan...

Deep learning approaches to predict femoral neck T-score and osteopenia/osteoporosis status from wrist accelerometry data.

Osteoporosis is a prevalent condition with substantial health and economic implications. Although physical activity is associated with bone health, th...

Integrative single-cell and spatial transcriptomic analysis reveals 4-HNE-related stromal remodeling in lung adenocarcinoma.

BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...

Comparison of dual-energy X-ray absorptiometry and lumbar radiographs using deep learning for osteoporosis diagnosis.

INTRODUCTION: Osteoporosis and osteopenia, characterized by reduced bone mineral density (BMD), increase fracture risk, particularly in older adults. ...

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...

Machine learning-based screening model for osteoporosis in Chinese postmenopausal women: a nationwide study with prospective fracture validation.

UNLABELLED: This study develops a machine learning model to predict osteoporosis in Chinese postmenopausal women. The model was trained using the larg...

Identification of Vital Genes Common to Dilated and Hypertrophic Cardiomyopathy Using Machine Learning and Bioinformatics.

BACKGROUND: Heart failure (HF) is a complex clinical syndrome and a leading cause of hospitalization and mortality worldwide, with significantly incre...

A clinical decision support tool for accurate hip fracture prediction: A nationwide cohort study.

BACKGROUND: Although hip fractures are commonly associated with functional decline, increased morbidity, and mortality, accurate models for both short...

Driving Drugs Deeper: Force-Driven Microneedle Systems for Active Therapy and Their Road Towards Clinical Implementation.

Transdermal delivery of macromolecules and biologics is constrained by the barrier function of skin. First-generation microneedle arrays address this ...

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...

Identification of a novel small-molecule modulator targeting SNX10 to inhibit osteoclastic bone resorption.

Current antiresorptive therapies reduce bone loss by eliminating osteoclasts or inhibiting their formation. However, these approaches could disrupt os...

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 fl...

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...

Integrative systems biology identifies PSMB2 as a core oxidative stress-associated target in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by...

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...

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...

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...