Endocrinology

Molecular-level understanding of the aging bone and regeneration mechanisms using computational methods.

Bone degeneration diseases, such as osteoporosis, are skeletal disorders characterized by diminished...

[Digital transformation in endocrinology/diabetology, pneumology, and hematology/oncology : Where do we stand today-and what lies ahead?].

As in many areas of medicine, increasing digitalisation is also having an impact on everyday practic...

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis.

BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health ed...

Hybrid Aquila optimizer-Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification.

Magnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, t...

Comprehensive evaluation of triglyceride glucose index-a body shape index (TyG-ABSI) for incident peripheral artery disease: data-driven phenotyping and machine learning-based risk prediction in the UK Biobank.

BACKGROUND: The prevalence of Peripheral Artery Disease (PAD) is rising globally, yet early risk str...

Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

AIMS: Despite the proven efficacy of GLP-1 receptor agonists (GLP-1 RAs), many patients with type 2 ...

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide-field images.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of blindness in the working-age population. Sc...

AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework.

BACKGROUND: Type 2 diabetes mellitus (T2D) is a rapidly growing global health concern requiring inno...

An Accurate Glucose Detection Platform Using Colorimetry and Supervised Learning Algorithms.

Maintaining optimal health and preventing diabetes-related complications require accurate and timely...

BigEye: a clinically interpretable deep learning framework for diabetic retinopathy detection and stage prediction.

Diabetic Retinopathy (DR) is a major cause of vision loss and blindness in diabetic individuals. DR ...

Artificial Intelligence in Screening and Grading Diabetic Eye Diseases: A Systematic Review From Algorithms to Clinic.

SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intellig...

Characterization of biomarker profiles in patients with coronary artery disease: A prospective coronary computed tomography angiography study.

BACKGROUND AND AIMS: Conventional biomarkers such as low-density lipoprotein (LDL) and high-density ...

Integrating the Glycemia Risk Index Into Clinical Practice and Research: A Consensus Report.

A panel of experts in the use of continuous glucose monitoring (CGM) data in the treatment of diabet...

Association between the oxidative balance score and depressive symptoms in adults with metabolic syndrome: a cross-sectional study from NHANES.

OBJECTIVE: This study investigated the association between the Oxidative Balance Score (OBS) and the...

Association of stress hyperglycemia ratio with the incidence of delirium in critically ill patients: a retrospective cohort study with exploratory machine-learning analyses.

Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of ele...

Proteogenomic characterization delineates clinically relevant subtypes of advanced differentiated thyroid cancer.

Advanced differentiated thyroid cancer (DTC) is characterized by limited therapeutic options and unf...

Modifiable risk factors associated with increased retinal age gap in an Australian population.

Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates bi...

Association between stress hyperglycemia ratio and all-cause mortality in neurocritical patients.

Fluctuations in blood glucose during acute neurocritical illness are associated with poor outcomes, ...

Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome.

BACKGROUND AND AIMS: To identify novel biomarkers and therapeutic targets for polycystic ovary syndr...

Association of diabetes severity with cognitive function in US adults: a cross-sectional analysis of the AI-READI multicentre cohort.

OBJECTIVES: To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated...