Steroids

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as osteoblasts, osteoclasts, osteocytes, and mesenchymal stem cells (MSCs), these nanosized vesicles carry diverse molecular cargos that regulate bone remodeling, regeneration, and skeletal homeostasis. In addition to mediating local communication within ...

Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.

The combined effect of traffic-related pollutant mixtures on osteoporosis (OP) remains unclear. This study aimed to evaluate such associations using machine learning and mixture modeling approaches. A cross-sectional analysis was conducted among 3053 participants from the National Health and Nutrition Examination Survey 2015 to 2018. Eighteen exposures were assessed, including heavy metals, polycy...

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blossom of Citrus aurantium L. var. amara Engl. (CAVA...

Integrative multi-omics, machine learning, and experimental validation reveal that TPM1 suppresses M2 macrophage polarization and enhances chemosensitivity in acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) remains a therapeutic challenge due to chemoresistance and immunosuppression. This study aimed to discover no...

A novel prognostic model based on MVIRGs identifies ANGPT2 as a key target driving the malignant progression of HCC.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high recurrence and limited therapies. Microvascular invasion (MVI) is a...

DNA damage response signature-based prognostic genes for intrahepatic cholangiocarcinoma: a combined analysis of machine learning and biological experiments.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive subtype of primary liver cancer with insidious onset, early metastasis, and p...

Displaced minds: ecologies of depression.

This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intel...

Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.

Streptomyces are renowned for their unparalleled capacity to produce bioactive natural products, making them prime candidates for industrial antibioti...

Predicting immune checkpoint inhibitor cardiotoxicity using machine learning: a systematic review of model performance and methodological quality.

BACKGROUND: Immune checkpoint inhibitors (ICIs) significantly improve cancer outcomes but can cause rare, potentially fatal cardiotoxicity, including ...

Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.

Cancer immunotherapy has revolutionised oncology by utilising immune-mediated mechanisms to achieve durable anti-tumour responses and long-term clinic...

Comment on "integrating machine learning into fracture liaison services: Toward precision risk stratification in osteoporosis care".

Exploring osteoporosis risk in breast cancer patients after comprehensive treatment via explainable artificial intelligence algorithms.

BACKGROUND: Osteoporosis is a common complication among long-term breast cancer (BC) survivors. Assessment of osteoporosis risk of patients before the...

Emerging applications of traditional and generative artificial intelligence in Liver Transplantation.

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching...

Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer.

Despite thorough characterizations of cellular compositions within the breast tumor microenvironment (TME), their implications for disease progression...

Targeting dysregulated glycolysis in type 2 diabetic osteoporosis: Identification of a diagnostic gene signature and therapeutic validation of calcifediol.

Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized by an increased risk of fractures. While dysregul...

Integrative single-cell and bulk transcriptomic analysis identifies lesion-associated gene signatures for prognostic stratification and therapeutic guidance in head and neck squamous cell carcinoma.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis and variable response to therapy. E...

Mechanisms linking primary biliary cholangitis and osteoporosis: A combined clinical and molecular analysis.

Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis (OP) is a prevalent comorbidity that aggravates th...

The Evolution of Precision Anti-Doping From UGT2B17 Polymorphism Insights to Integrated Detection Frameworks.

Screening for endogenous anabolic-androgenic steroid abuse has long relied on the urinary testosterone/epitestosterone (T/E) ratio. However, this metr...

Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.

To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (F...

Comment on "Integrating machine learning into fracture liaison services: toward precision risk stratification in osteoporosis care: a prospective cohort study".