Menopause

Quality of Life and Decision Regret Risk in Graves' Disease After Radioactive Iodine Therapy: A Prospective Cohort Study.

OBJECTIVE: To identify pre-treatment determinants of hypothyroidism and decision regret (DR) following radioiodine (RAI) therapy in Graves' disease (GD), and to assess their longitudinal impact on health-related quality of life (QoL). METHODS: Prospective cohort of 500 GD patients receiving RAI. Machine learning models predicted hypothyroidism (3/6 months) and high DR using clinical indices, socio...

Machine-learning-optimized T3C2Tx/Bi2Se3 nanoflower-modified screen-printed electrodes for electrochemical detection of trace Pb2+ and Cd2+ in artificial sweat.

In the field of non-invasive detection methods, sweat analysis has been increasingly capturing the interest of researchers due to its potential for clinical and health monitoring applications. While the detection of various substances in sweat has been extensively documented, the detection of heavy metal ions such as cadmium (Cd2+) and lead (Pb2+) is challenging due to their low concentrations, of...

Exploring the molecular intersections of osteoporosis and sarcopenia: An integrated bioinformatics and experimental validation.

BACKGROUND: Osteoporosis and sarcopenia are age-related degenerative diseases that frequently co-occur in the older adults, yet their shared molecular...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...

Axial and choroidal changes as key predictors of myopia control in red-light therapy: Evidence from machine learning models.

BACKGROUND: Repeated low-level red-light (RLRL) therapy has emerged as a promising non-invasive intervention for myopia control. However, the predicti...

From bench to bedside: The clinical relevance of atrial electrical remodeling in atrial fibrillation therapy.

Atrial electrical remodeling spans molecular, electrical, and structural alterations that shorten refractoriness, facilitate reentry, and ultimately c...

ADHTransNet-based radiomics on multimodal pituitary MRI for non-invasive hormone prediction in children.

BACKGROUND AND OBJECTIVE: Growth hormone deficiency (GHD) and idiopathic central precocious puberty (ICPP) are typically diagnosed through invasive st...

ANGPTL4 regulates the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells: A novel mechanism of osteoporosis from the perspective of lipid metabolism.

To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoieti...

The spread of non-native species.

The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions ...

Deep learning-based micro-CT grayscale analysis for early detection and staging of osteoporosis in rats.

BACKGROUND: Rat models are widely used in preclinical osteoporosis research to study disease mechanisms and evaluate therapies. Current Micro-CT studi...

EGR1 promotes ferroptosis in endometriosis through transcriptional activation of HMOX1.

Endometriosis (EM) affects approximately 10% of women of reproductive age and remains a prevalent estrogen-dependent gynecological disorder with limit...

Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal adenocarcinoma: a multicenter study.

PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI for predicting preoperative perineural invasion (PN...

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...

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...

Unraveling the microbiome's role in breast cancer progression and treatment response.

The human microbiome, encompassing microbial communities in the gut and breast tissue, has emerged as a critical modulator of breast cancer (BC) initi...

Biological multi-omics approaches to next-generation biomarkers in immune-related disorders and malignancies: An overview.

Cancer and autoimmune diseases are major global health challenges characterized by molecular and clinical heterogeneity. Traditional single-analyte bi...

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...

The New A-⊘OHO process Based on DO Gradients and Load-Ratio Allocation Enabling Mainstream PN/A in Toxic Industrial Wastewater.

The partial nitritation-anammox (PN/A) process offers significant benefits in energy conservation and carbon neutrality, however, its application is l...

Development and validation of a novel orthopedic blood use prediction model incorporating lab tests and thromboelastography.

OBJECTIVE: To develop and validate a prediction model integrating laboratory parameters and thromboelastography (TEG) for forecasting blood transfusio...