Obesity

Integrating ESG indicators and behavioral factors to estimate the mental health index in Italy.

This article examines the relationship between behavioral and Environmental, Social, and Governance (ESG) variables and the Mental Health Index (MHI) of Italian regions from 2016 to 2023. The use of descriptive statistics, cluster analysis, and forecasting models is employed for descriptive and exploratory purposes, as well as for forecasting regional disparities in mental health. Relative stabili...

Beyond surgical risk: Multidimensional predictors of postoperative arm morbidity after breast cancer treatment.

BACKGROUND: Postoperative upper-limb morbidity following breast cancer treatment is common and clinically significant, encompassing pain, functional impairment, range-of-motion limitation, and lymphedema. While traditional risk models have focused primarily on surgical and treatment-related factors, less is known about the relative contribution of psychosocial and behavioral determinants. The Arm ...

Machine learning identification of neuroimaging signatures in young and middle-aged male patients with obstructive sleep apnea: a multimodal MRI study.

OBJECTIVES: This study aimed to develop and validate an integrated neuroimaging-based model for identifying severe obstructive sleep apnea (OSA) with ...

A scalable solution for multi-symptom disease prediction and lifestyle recommendations using machine learning.

Accurate prediction of diseases from multiple co-occurring symptoms remains an important challenge in intelligent healthcare systems. Machine-learning...

A machine learning-based framework for predicting hypertension using serum hematological factors.

Hypertension (HTN) is a leading global cause of cardiovascular disease (CVD) and all-cause mortality, underscoring the need for early detection and in...

Biases of large language models in diagnosing Cushing's syndrome.

The diagnosis of endogenous Cushing's syndrome (CS) can be complicated and often delayed, given its low incidence (estimated globally at 1.8 cases to ...

Association between visceral adiposity index and delayed union/nonunion after tibial or femoral shaft fractures: a single-center retrospective cohort study.

BACKGROUND: Delayed union and nonunion remain clinically important complications after tibial and femoral shaft fractures. Although traditional risk f...

Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.

INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...

Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.

Coronary heart disease (CHD) and carotid artery disease (CAD) often co-occur. However, conventional diagnosis typically involves separate, site-by-sit...

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation.

BACKGROUND: Steatotic liver disease affects 40% of nonobese individuals, but existing screening tools inadequately detect and stage disease severity i...

Interpretable machine learning and incremental prognostic model for all-cause and cardiovascular mortality in obesity with MASLD population: Comorbidity insights from triglyceride-glucose and its obesity-related derivatives.

OBJECTIVE: To investigate comorbid correlation and prognostic value of triglyceride-glucose (TyG) and its obesity-related derivatives for all-cause an...

Establishment of the China Elderly Comorbidity Medical Database (CECMed) and its application in machine learning-based prediction.

AIMS: Comorbidity is highly prevalent in the elderly in China, representing a leading cause of mortality in this population. This study established a ...

Health literacy, medication adherence, and quality-of-life scores in Jordanian adults with chronic diseases: a dual analytical study using the long-term conditions questionnaire and the EuroQol five-dimension three-level questionnaire.

AIMS: This study examined the association of health literacy with quality-of-life outcomes among Jordanian adults with chronic diseases using two pati...

Incorporating dietary information to enhance polygenic prediction models with applications to body mass index and type 2 diabetes.

BACKGROUND: Polygenic predictors can enhance screening for metabolism-related traits such as body mass index (BMI) and type 2 diabetes (T2D). However,...

Machine learning to improve the prediction of Large for Gestational Age (LGA) neonates: a cohort study.

BACKGROUND: Prediction of Large for Gestational Age (LGA) risk is important as it can enable earlier, more effective interventions, and avoid or mitig...

AVSeg-XAI: Deep learning framework for A/V segmentation with vascular features reveals retinal oculomics as biomarker for cardiovascular disease.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality across the globe. Conventional risk stratification often depends on invasiv...

Large-scale transcriptomic data mining using explainable XGBoost and SHAP reveals shared biomarkers and molecular mechanisms between type-2 diabetes and triple-negative breast cancer for drug repurposing.

Type 2 diabetes (T2D) is considered as a risk factor of triple-negative breast cancer (TNBC). So, there is a significant chance of their co-existence....

Single-cell and bulk transcriptomic sequencing reveals tryptophan metabolism-linked biomarkers of obesity.

Obesity remains a major public health challenge, and the contribution of tryptophan metabolism to obesity-associated inflammation remains incompletely...

The role of metabolic health in neurostructural and cognitive alterations in bipolar disorders.

BACKGROUND: Bipolar disorders (BD) rank among the most disabling conditions, affecting millions worldwide. Cognitive impairment in BD is linked with b...

Accuracy of thoracolumbar pedicle screw placement using intraoperative CT navigation versus 3D-printed patient-specific guides integrated with virtual surgical planning: a comparative study.

BACKGROUND: 3D-printed patient-specific pedicle screw guides (3DPSG) may provide accuracy comparable to intraoperative CT navigation (CTNav). Our 3DPS...