Steroids

CAI Score for the Diagnosis of Central Adrenal Insufficiency.

BACKGROUND: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclusive morning cortisol (4-18 µg/dL). Dynamic tests like the short Synacthen test (SST) are imperfect, necessitating reliable tools to stratify CAI risk and reduce diagnostic delays. OBJECTIVE: To develop and validate a predictive scoring system integrating clinical, biochemical, and imaging variables ...

Cellular and molecular determinants of lymph node metastasis in papillary thyroid carcinoma: Integrated multi-omics profiling and machine learning models.

The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain elusive. This study integrated single-cell RNA sequencing (scRNA-seq) data, spatial transcriptomics (ST) data, and bulk transcriptomic data. Analyses revealed that N1-stage tumors exhibit a highly active immune-inflammatory microenvironment with an increase in immunosuppressive cells. Successfully dis...

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...

Emerging nanoparticle-based therapies for pancreatic cancer: Current clinical landscape.

Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal subtypes due to late diagnosis, the absence of e...

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...

Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms.

BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (HPA) axis dysregulation and may reveal novel thera...

Decoding strategies for enhancing immunotherapy in head and neck squamous cell carcinoma.

Immune checkpoint inhibitors have partially improved treatment outcomes for patients with head and neck squamous cell carcinoma (HNSCC), but the respo...

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...

Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.

OBJECTIVES: Exclusive enteral nutrition (EEN) is a first-line treatment for induction of remission in luminal pediatric Crohn disease (pCD). However, ...

Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.

Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy strategies beyond conventional single-mode regulati...

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...

Deciphering the role of angiogenesis in glioblastoma: Integrative insights from transcriptomic profiling, single-cell sequencing and interpretable machine learning approaches.

Glioblastoma (GBM), a highly vascularized and aggressive primary brain tumor, presents unresolved questions regarding the functional significance of a...

Explainable machine learning-based prediction of psoriatic arthritis flares using heterogenous real-world data for personalised patient care.

Psoriatic arthritis (PsA) is a chronic inflammatory disease characterised by unpredictable flare-ups that are difficult to forecast, particularly in p...

Integrated multi-omics analyses identified the H3K18la-based spatiotemporal characteristics and risk-stratified treatment strategy in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite a...

Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders.

Biomarker research in psychopathology increasingly employs high-dimensional Omics approaches. Yet, proteomics based on human hair remain largely unexp...

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...

4-Nonylphenol mediated tumor progression and immune modulation through CDK2: Computational and experimental validation.

As an endocrine-disrupting chemical, 4-nonylphenol (4-NP) has been found above safe limits in global water systems and associated with cancer progress...

CSF1R and macrophage infiltration: Integrated magnetic resonance imaging radiomics and deep learning-driven models for the preoperative assessment of glioma.

BACKGROUND: Colony-stimulating factor-1 receptor (CSF1R) signaling is crucial for the ability of tumor-associated macrophages (TAMs) to establish an i...

Use of indirect methods and machine learning algorithms for the estimation of reference intervals, taking cortisol measurements as an example.

OBJECTIVES: This study aims to determine reliable reference intervals (RIs) for total cortisol (TC) in adults considering the effects of both age and ...