Steroids

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 subset of participants. AI-derived T-scores identified marked age- and sex-associated skeletal differences, particularly among women aged 50-59 years, a population often underrepresented in current DXA-based screening strategies. BACKGROUND: Osteopo...

Machine-learning-based Phenomapping of Patients with Keratinocyte Carcinoma: Data-driven Subgrouping by Disease Burden, Comorbidities and Socioeconomic Status.

Keratinocyte carcinoma (KC) places a considerable and growing burden on healthcare systems. Given the KC population's heterogeneity, tailored clinical pathways are needed to accommodate diverse management needs. This study applied machine learning (ML)-based phenomapping to identify distinct real-world subgroups within a national KC population using demographic and medical history variables. The s...

Development and Validation of a Machine Learning-Based Bedside Score (IPA-2T2C2DW) for Invasive Pulmonary Aspergillosis in Critically Ill Non-Neutropenic Immunocompromised Hosts.

OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data available within 24 hours of ICU admission, construct t...

β-Cyclodextrin-Functionalized Mycobacterium smegmatis Porin A for Steroid Discrimination and Gut Metabolite Monitoring.

Steroid metabolites like estradiol (E2) and bile acids (BAs) play pivotal roles in human metabolism but are challenging to distinguish due to their hi...

Postoperative Nocardia cyriacigeorgica infection after glioblastoma resection: correlating metagenomic next-generation sequencing with conventional microbiology.

Postoperative nocardial infection after cranial surgery is rare and difficult to diagnose because Nocardia spp. grow slowly in conventional culture. M...

Cancer immunotherapy under immune pressure: Mechanisms of resistance and the shift toward precision immune engineering.

Cancer immunotherapy has transformed the treatment landscape across multiple malignancies; however, durable responses remain limited to a subset of pa...

Single-Atom Nanozymes for High-Efficiency Cancer Immunotherapy by Targeting Tumor Microenvironment.

Tumor immunotherapy has emerged as a transformative strategy for cancer treatment. However, its clinical efficacy remains limited by the immunosuppres...

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 ...

Mass Spectrometry Prediction Based on Few-Shot Neural Network and Chemical Prior Knowledge for Regulatory Screening of Cosmetic Glucocorticoid.

Glucocorticoids are prohibited in cosmetics due to health risks, yet illegal additions persist through structural modifications that evade conventiona...

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 ...

Causal associations between hormone replacement therapy and brain structure: Evidence from large-scale Mendelian randomization and double machine learning.

BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone deficiency, particularly during menopause, yet its ca...

The molecular landscape of chordoma: Current frontiers from multi-omics to artificial intelligence.

Chordoma is a rare and aggressive malignant bone tumor of the axial skeleton that has historically challenged clinicians due to its complex anatomical...

Transforming Cancer Treatment: Integrative Strategies Targeting the Tumor Microenvironment through Biological Innovation and Artificial Intelligence.

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving ...

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...

The impact of outdoor living space access on the dairy cow metabolome profile.

Welfare assessment of housed dairy cattle currently relies on subjective, snapshot-like observations that fail to capture the physiological impacts of...

Clinical Research on Microecological Landscape for Infection Risk Stratification in Newly Diagnosed Patients with Hematological Conditions.

INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hematological diseases, particularly in the context of ...

An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus.

Infection is a leading cause of mortality in patients with systemic lupus erythematosus (SLE), yet effective tools for early identification of high-ri...

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...

Predicting Intratumoral Heterogeneity and Stratifying Prognostic Risk in Gastric Cancer Using a Histology-Based Pathomics-Deep Learning Fusion Model.

Intratumoral heterogeneity (ITH) is a fundamental driver of clonal evolution and therapeutic resistance in gastric cancer (GC). However, the clinical ...

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferro...