Primary Care

Molecular mechanism by which perfluorooctane sulfonate regulates the initiation and progression of prostate cancer via the ENTPD5-adenine axis.

Perfluorooctane sulfonate (PFOS), a persistent member of the per- and polyfluoroalkyl substances family, has been increasingly associated with adverse carcinogenic effects; however, the molecular basis by which PFOS may contribute to prostate cancer (PCa) initiation and progression remains poorly defined. In this study, we aimed to systematically elucidate the mechanisms underlying PFOS-associated...

The Role of Artificial Intelligence in the Prevention of Intimate Partner Violence and Sexual Violence: A Scoping Review of the Literature.

Intimate partner and sexual violence (IPV/SV) remain pervasive global public health issues. Prevention efforts typically occur at the primary level (promoting consent and healthy relationships), secondary level (encouraging bystander intervention and screening), or tertiary level (supporting survivors through reporting and access to resources). The rapid emergence of artificial intelligence (AI) c...

Retinal Microvascular Signatures as Early Predictors of Cardiovascular Risk: Integrating Pathophysiology, Molecular Insights, and Artificial Intelligence.

Cardiovascular diseases (CVDs) continue to be a significant public health burden and public health emergency in the world, underscoring the importance...

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...

Prognostic value of AI-derived epicardial adipose tissue beyond coronary artery calcium on chest CT in an asymptomatic screening population.

BACKGROUND: The incremental prognostic value of epicardial adipose tissue (EAT) quantified on nongated, noncontrast chest CT beyond conventional risk ...

Real-time yoga posture correction using deep learning for individuals with physical disabilities.

The rapidly increasing global adoption of yogic practice as a comprehensive inclination towards wellness has significantly increased the need for adva...

Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales.

Obstructive sleep apnea (OSA) is common yet frequently underdiagnosed, partly because overnight polysomnography (PSG) is logistically burdensome and a...

Pancreatic organoids and organoid-on-a-chip platforms: from disease modeling to precision therapy.

BACKGROUND: Pancreatic diseases, including diabetes, pancreatic ductal adenocarcinoma, pancreatitis, and cystic fibrosis, impose a substantial clinica...

Machine learning-driven QSAR modeling combined with single cell transcriptomics identifies novel drug targets for lung cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related mortality, largely due to frequent metastasis to the brain and bon...

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,...

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....

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes-related complications: A systematic review and analysis.

AIMS: To compare the predictive accuracy of machine learning models versus traditional statistical models for predicting and detecting long-term compl...

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...

Simultaneous learning of static and dynamic charges.

Long-range interactions and electric response are essential for accurate modeling of condensed-phase systems, but capturing them efficiently remains a...

Improving End-of-Life Screening in the Emergency Department With Collaborative Artificial Intelligence.

STUDY OBJECTIVES: To compare end-of-life predictions as measured by the physician-answered surprise question (SQ), "Would you be surprised if this pat...

Location of AI risk markers and associated mammographic features in screening mammograms obtained years before screen-detected breast cancer.

OBJECTIVES: To examine screening mammograms assigned high-risk scores by two artificial intelligence (AI) models, 2 and 4 years prior to screen-detect...

Health-Related Quality of Life and Family Impact Among Children with Epilepsy: The Role of Seizure Control.

INTRODUCTION: Seizure control is the primary therapeutic goal in pediatric epilepsy, yet its multidimensional impact on health-related quality of life...

Digital Twin Applications in Diabetes Management: Scoping Review.

BACKGROUND: Digital twin (DT) systems have emerged as a promising approach in health care, enabling real-time, patient-specific virtual modeling and p...