Latest AI and machine learning research in obesity for healthcare professionals.
Objective: To evaluate modifiable antepartum and intrapartum factors associated with nulliparous, te...
Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure...
Psychiatric disorders are fundamentally challenged by symptom heterogeneity, high comorbidity, and t...
Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...
Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, ind...
Neurological health score (NHS), indicating the health of brain and nervous system, helps in identif...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...
Loneliness and psychological well-being are increasingly recognized as critical public health concer...
Accurate risk stratification in patients with overweight or obesity is critical for guiding preventi...
Background: Traditional pharmacovigilance methods based on biostatistical approaches systematically ...
Pregnancy care often involves simultaneous obstetric and other medical conditions, but their co-occu...
Background- Eating timing and regularity represent new contributors to metabolic health, however, th...
Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...
Background: We previously published a literature based pipeline for sepsis gene prioritization (PS3 ...
Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may i...
BackgroundBody composition strongly influences clinical outcomes in older adults, yet body mass inde...
BACKGROUND: Rectal bleeding among young adults is an increasingly common clinical concern often link...
Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...
Background: Age and comorbidity significantly impact the prognosis of septic patients and inform tre...
INTRODUCTION: Target volume delineation is crucial in breast cancer radiotherapy planning but involv...
This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncov...