Primary Care

Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.

PURPOSE: To evaluate and quantify diabetes-related retinal and choroid perfusion changes in individu...

Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.

Prediabetes represents an early stage of glucose metabolism disorder with significant public health ...

Occurrence, Sources, and Prioritization of Per- and Polyfluoroalkyl Substances (PFASs) in Drinking Water from Yangtze River Delta, China: Focusing on Emerging PFASs.

As regulations ban legacy PFASs, many emerging PFASs are being developed, leading to their release i...

Speech-based digital cognitive assessments for detection of mild cognitive impairment: Validation against paper-based neurocognitive assessment scores.

BackgroundCognitive decline in Alzheimer's disease (AD) often includes speech impairments, where sub...

Accuracy of Using Weight and Length in Children under 24 mo to Screen for Early Childhood Obesity: A Systematic Review.

The global increase in early childhood overweight and obesity has prompted interest in early predict...

A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.

The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...

Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting.

MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...

Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning.

OBJECTIVE: Four hypertension-mediated left ventricular hypertrophy (LVH) phenotypes have been report...

Investigating the Mechanisms of Pazopanib-induced Hepatotoxicity: Insights from Network Toxicology, Microarray Analysis, and Machine Learning.

BACKGROUND: Pazopanib is an oral multi-kinase inhibitor that is effective in treating various tumors...

Ethical implications of artificial intelligence in residency applicant screening.

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.

BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth t...

[Automated diabetic retinopathy screening in out-patient diabetes care - comparison of two artificial intelligence algorithms RetCAD and OphtAI].

Ovarian Cancer Screening: Recommendations and Future Prospects.

Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in ea...

A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracr...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening.

In the drug discovery process, traditional structure-based virtual screening methods, such as molecu...

Personalized cardiometabolic care powered by artificial intelligence.

Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving c...

Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.

BACKGROUND: This study investigated the cost-effectiveness and clinical impact of the 3E model (educ...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, ...