Obesity

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to develop and validate a screening panel that identifies biopsy-confirmed MASH in children and adolescents using clinical and metabolomics data. METHODS: Fasting serum from youth in NASH CRN studies and healthy participants underwent untargeted metabo...

Intrarenal pressure monitoring in retrograde intrarenal surgery for high-infectious risk populations.

PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the LithoVue™ Elite (LVE) ureteroscope and assess postoperative infectious complications after retrograde intrarenal surgery (RIRS) in patients with positive urine cultures. METHODS: This multicenter, single-arm, prospective cohort study (August 2023-October 2024) included patients with upper urinary tract...

Technology and Obesity: A Year in Review.

SMART technological advancements help diagnose, treat, and monitor various diseases at the earliest stages. It presents an opportunity to maintain the...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...

The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.

OBJECTIVE: Variables predicting obesity are not limited to individual-level risk factors. The purpose of this study is to assess multilevel predictors...

Development of a machine learning prediction model for overactive bladder in female nurses: the NURS study.

PURPOSE: To develop and internally validate interpretable machine-learning models for identifying individuals with a higher probability of overactive ...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...

Integrating environmental and behavioral tracking via digital health systems for personalized skin health management.

Chronic dermatological conditions impose a significant burden on global health and quality of life. The etiology of these disorders is multifaceted, d...

Associations of Phthalate, Organophosphate Flame Retardant, and Bisphenol Exposures with Lifestyle Behaviors and Residential Environmental Factors Among Early Adolescents: The Hokkaido Study.

Humans are widely exposed to environmental chemicals, yet evidence integrating multiple behaviors and environmental factors remains limited, particula...

Multimodal artificial intelligence-based long-term mortality prediction after transcatheter aortic valve implantation: a multicentre development, validation, and testing study.

BACKGROUND: Appropriate risk prediction is essential to inform long-term management in patients with symptomatic severe aortic stenosis after transcat...

Predictive Models of Pregnancy Based on Male Partner Data From a Preconception Cohort Study.

BACKGROUND: Male factors contribute to approximately 50% of couple infertility, yet few studies have used machine learning with comprehensive male par...

MRI radiomics combined with clinical features for predicting initial dose in focused ultrasound ablation surgery for uterine fibroids.

OBJECTIVE: To develop and validate a radiomics-clinical model for individualized prediction of the initial treatment dose in focused ultrasound ablati...

Computational precision nutrition for sarcopenia and associated multimorbidity in ageing.

Sarcopenia is the age-related progressive decline in both skeletal muscle mass and function. It acts as an exacerbator of multimorbidity, engaging in ...

Distinct relationships of compartment-specific fat distribution profiles with cardiovascular ageing and future cardiovascular events.

BACKGROUND: Obesity is a major contributor to cardiovascular disease (CVD). Different fat depots may have distinct effects on cardiac ageing and cardi...

Identification and risk-factor analysis for individuals at high risk for keratoconus via machine learning and logistic regression.

PURPOSE: To evaluate keratoconus (KC) risk factors and to develop a machine-learning (ML) model for KC and myopia classification. METHODS: In this ret...

Pathogenic Genetic Variants, Comorbid Autism and Adaptive Developmental Quotient as Independent Predictors of Intellectual Disability in Children With Global Developmental Delay: An Interpretable Machine Learning Model With Calibrated Risk Estimation.

BACKGROUND: Global developmental delay (GDD) frequently precedes intellectual disability (ID), but no validated multivariable prognostic tool exists t...

Machine learning prediction of 30-day mortality in coronary artery disease: a retrospective multicenter study using electronic health records.

BACKGROUND: Coronary artery disease (CAD) is the leading cause of death globally and a major contributor to hospital readmission. This study aimed to ...

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects.

OBJECTIVES: Past studies have shown that many clinical machine learning models have performance limitations due to imbalances in the training data. Fo...

Prognostic factors and predictive modeling of in-hospital mortality among MDRO-positive inpatients: a retrospective cohort and GBD MICROBE study.

Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...