Menopause

A machine learning-based framework for individualized physical activity and strength targets related to women's bone health.

While substantial evidence supports the associations between physical activity and bone health, the present study aims to advance the field by applying a novel, data-driven approach through machine learning techniques. The primary objective was to identify significant predictors of femoral neck bone mineral density (BMD) and to develop an interpretable modeling framework for estimating individuali...

Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.

Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial intelligence (AI), and precision medicine has transformed its diagnosis and treatment. Conventional biomarkers such as ER, PR, HER2, and BRCA mutations continue to guide therapeutic decisions, while emerging biomarkers including TP53, PTEN, and STK11 o...

Reconsidering Fibrinolysis in Selected Patients with Non-ST-Elevation Acute Coronary Syndrome: A Hypothesis-Generating, Research-Based Framework.

For decades, the use of fibrinolytic agents in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) has been contraindicated by major cli...

A Multi-omics Regulated Cell Death Framework Defines Immune Phenotypes and Guides Precision Therapy in Colorectal Cancer.

Colorectal cancer (CRC) is molecularly and immunologically heterogeneous, contributing to variable treatment response. Because regulated cell death (R...

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Clinical justification for osteoporosis investigation: transitioning from opportunistic to diagnostic referrals from alternative forms of imaging.

Clinical justification remains fundamental to the safe use of imaging involving ionising radiation, requiring a favourable balance between diagnostic ...

Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE.

OBJECTIVE: This study aimed to identify the core risk factors for osteoporosis in perimenopausal women and propose an analytical framework based on th...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

The Metabolite indole-3-acetic acid of Bacteroides ovatus ameliorates ovariectomy-induced bone loss by activating AhR and inhibiting oxidative stress.

Postmenopausal osteoporosis represents a systemic skeletal condition distinguished by diminished bone mass and heightened skeletal fragility. Emerging...

Use of heart rate variability in prediction of clinical deterioration in critically ill hospitalised adults: a systematic review protocol.

INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...

Data-driven endocrine-metabolic phenotypes in young women with polycystic ovary syndrome and associations with cardiometabolic risk markers.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with reproductive dysfunction and increased cardiometabolic risk. Co...

Non-transgenic rodent models associated with Alzheimer's disease: applications, evaluation, and perspectives.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Familial AD accounts for less than 1% of cases, while sporadic AD (SAD) accounts...

High FDG Uptake in the Non-cancerous Lung Predicts Immune-Related Adverse Events and Poor Prognosis in Patients with Lung Cancer Treated with Immune Checkpoint Inhibitors.

RATIONALE AND OBJECTIVES: Immune checkpoint inhibitors (ICIs) have improved survival in non-small cell lung cancer (NSCLC); however, predicting immune...

Designing for Care, Not Just Function: Lessons From a Non-Clinical Artificial Intelligence Innovation in Person-Centred Fundamental Care.

AIM: To examine how artificial intelligence (AI) influences the definition, enactment and preservation of person-centred fundamental care in healthcar...

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...

Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation.

Cardiac neuromodulation includes various methods, such as vagus nerve stimulation, baroreflex activation therapy, renal denervation, and stellate gang...

Development and validation of a machine learning-based hierarchical classification model for predicting the early therapeutic response to initial 131I therapy in papillary thyroid carcinoma.

OBJECTIVE: Personalized tools for accurately predicting papillary thyroid carcinoma (PTC) patients' response to initial 131I therapy are lacking. This...

Large language models as a screening tool for the qualification of patients with Parkinson's disease for device-aided therapies.

Motor complications become increasingly prominent as Parkinson's disease (PD) progresses. Although device-aided therapies (DAT) improve symptoms contr...

Side-to-side differences in hip bone mineral density and associated morphological factors.

UNLABELLED: In the analysis of 82 participants using quantitative computed tomography (QCT) images, side-to-side differences in hip bone mineral densi...

Non-Invasive Triage of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms: A Narrative Review and Conceptual Framework for Depth-Aware Multimodal Transcutaneous Testing.

INTRODUCTION: Differentiating bladder outlet obstruction (BOO) from detrusor underactivity (DU) remains a major unmet need in the management of lower ...