Obesity

Global Geospatial Trends in Breast Cancer and Atrial Fibrillation/Flutter Among Older Women: Uncovering Shared Epidemiological Patterns and Etiological Links.

BACKGROUND: Breast cancer (BC) and atrial fibrillation (AF) represent increasing global health burdens with shared risk factors. However, their coincidence burden and global distribution among older women (≥55 years) remain unclear. METHODS: This study integrated data from the Global Burden of Disease 2021 database spanning 204 countries and territories, covering incidence rates of BC and AF and e...

Precision or Paradox? AI-Driven Adiposity Imaging in Women With Overweight and Obesity: A Systematic Review and Meta-Analysis.

Artificial intelligence (AI) enables automated, high-throughput adiposity quantification, offering refined risk stratification for women with overweight and obesity. We systematically reviewed and meta-analyzed studies evaluating AI-based segmentation of visceral, subcutaneous, and total fat in adult women populations (BMI: 25-29.9 and ≥ 30 kg/m2), searching MEDLINE, CENTRAL, Embase, Scopus, Scien...

Predicting 3-year mortality after myocardial infarction in a structured care program: A comparative analysis of Cox regression and machine learning models.

BACKGROUND: Accurate risk stratification after myocardial infarction (MI) remains essential for optimizing long-term management. The advantage of mach...

Neuropsychological and metabolic interconnectivity in obesity, anorexia and bulimia nervosa - an integrative literature review.

A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic disruption with mental health consequences in obesity...

Artificial Intelligence Diagnosis of Obstructive Sleep Apnea Using Overnight Pulse Oximetry: A Systematic Review and Bayesian Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) affects 38% of the population, yet over 90% of cases remain undiagnosed. The gold standard for diagnosis, po...

Dietary patterns and Alzheimer's disease: East-west perspectives and future intervention strategies.

Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention, have become a focus of current research due to th...

Prediction of in-hospital cardiac arrest on general wards using calibrated machine learning.

OBJECTIVE: To identify time-windowed clinical predictors of in-hospital cardiac arrest (IHCA) and develop a temporally validated, calibrated machine-l...

Explainable machine learning revealing the impact of mental and physical health on arthritis.

OBJECTIVES: To develop a robust and interpretable machine learning framework for arthritis risk prediction and to identify important risk factors asso...

Prediction of incident atrial fibrillation from retinal fundus images using a multimodal foundation model.

Atrial fibrillation (AF), a common cardiac arrhythmia, presents significant challenges for early detection and management due to its asymptomatic and ...

Using Encounter-Level Data for Risk-Adjustment of Antimicrobial Use Comparisons: Feasibility and Variable Selection.

BACKGROUND: External comparisons of hospital antimicrobial use (AU), risk-adjusted using encounter characteristics, may better inform antimicrobial st...

An optimized ensemble learning model for interpretable and efficient obesity classification.

Obesity is a major health challenge resulting from the interaction of genetic, behavioral, and environmental factors. In recent years, several convent...

Bioinformatics analysis reveals the characteristics of immune microenvironment in major depressive disorder and vitiligo.

BACKGROUND: Major depressive disorder (MDD) and vitiligo often occur together, worsening patient outcomes. However, the shared pathogenic mechanisms r...

Multimodal imaging to analyze the biomechanical properties of kidney tumors, evaluating feasibility, inter-modality correspondence, and diagnostic value (UroCCR-115).

INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, convent...

AI-Assisted Literature Mining Reveals Spatiotemporal Heterogeneity and Progression Trajectories of Traditional Chinese Medicine Syndromes in Coronary Heart Disease in China.

Despite the centrality of syndrome differentiation in guiding personalized traditional Chinese medicine (TCM) interventions for coronary heart disease...

Human-Centered Innovation: Precision Nutrition and the Future of Food.

Nutritional science is moving beyond one-size-fits-all recommendations toward more precise and personalized approaches, yet its implementation pathway...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...

Association of C-reactive protein to albumin ratio with progression of CKD and all-cause mortality in diabetic CKD.

INTRODUCTION: The C-reactive protein to albumin ratio (CAR), an integrative biomarker of inflammation and malnutrition, has shown prognostic value in ...

Are T1-weighted and T2-weighted volumetric pipelines interchangeable methodologies for investigating amyotrophic lateral sclerosis pathology in vivo?

PURPOSE: To test the hypothesis that T1-w and T2-w volumetric pipelines are not interchangeable, particularly regarding their differential sensitivity...

Psychosomatic Susceptibility Profile (PSSP): a machine-learning-derived eight-item instrument integrating personality and coping for psychosomatic risk stratification.

Psychological, behavioral, and physical factors jointly contribute to heterogeneity in health-related outcomes, yet existing instruments often assess ...

Comparative outcomes of proton and photon therapy in the management of malignant peripheral nerve sheath tumors.

BACKGROUND: Malignant Peripheral Nerve Sheath Tumors (MPNSTs) are aggressive sarcomas often arising in the spine, characterized by high metastatic pot...