Diabetes

An allostatic load domain-specific metabolic profile in young adults: The African-PREDICT study.

Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress acros...

Association of cardiovascular-kidney-metabolic syndrome stages with MASLD prevalence and liver fibrosis severity: evidence from traditional and machine learning approaches.

INTRODUCTION: Cardiovascular-Kidney-Metabolic (CKM) syndrome reflects the convergence of cardiovascu...

Neuromodulation using Bioelectronics-enabled therapies to combat insulin resistance and its comorbidities.

INTRODUCTION: Insulin resistance is a complex metabolic disorder that involves multiple molecular pa...

Surface-based cortical thickness and gyrification mapping with data-driven prediction of cognitive impairment in prediabetes.

BACKGROUND: Prediabetes is a serious health condition characterized by blood glucose levels that are...

Feasibility of Integrating Urinary Proteomics and Machine Learning for Diagnosing Diabetic Nephropathy.

Diabetic nephropathy (DN) represents the predominant microvascular complication associated with diab...

Identification of VEGFB associated with NKT cells in diabetic foot ulcers: Single-cell analysis and machine learning.

The management options for diabetic foot are restricted, and the outlook is unfavorable. Immune cell...

Identification of a type 1 diabetes-associated T cell receptor repertoire signature from the human peripheral blood.

Type 1 diabetes (T1D) is a T cell-mediated disease with a strong immunogenetic human leukocyte antig...

Research on the Application Value of Blood Plasma Autofluorescence Spectroscopy Model Constructed by Machine Learning Algorithms in Identifying the Types of Post-operative Kidney Transplantation Injury.

BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in cl...

From Telemedicine to Early Warning: Embedding Artificial Intelligence in Remote Follow-Up of Diabetic Foot Ulcers.

Diagnostic model and identification of IGFBP2 as an aging-related biomarker and therapeutic target for systemic sclerosis-associated interstitial lung disease through integrated bioinformatics and machine learning approaches.

BACKGROUND: Cellular senescence is a critical contributor to the pathogenesis of systemic sclerosis-...

De novo generation and in silico screening of anti-diabetic peptide candidates via a deep learning-attention framework with physicochemical feature fusion.

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Primary care electronic medical records (EMRs) contain rich data that can support proactive identifi...

From Observation to Prediction: Machine Learning Analysis of Progression of Visual loss in Nonarteritic Anterior Ischemic Optic Neuropathy.

OBJECTIVE: To determine whether combinations of modifiable clinical/systemic risk factors and struct...

AFTS: A patient-agnostic encoder-decoder architecture with directional attention for blood glucose forecasting.

Accurate blood glucose forecasting remains challenging due to inter-patient heterogeneity and comple...

External validation of GDM risk prediction models using a machine learning reciprocal model-exchange framework.

BACKGROUND: Although many risk prediction models have been developed, very few undergo external vali...

Phenotypic clustering of cardiovascular risk profiles in systemic lupus erythematosus.

ObjectiveThis study aimed to identify distinct cardiovascular risk phenotypes in systemic lupus eryt...

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increas...

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need ...

Artifact-suppressed 3D retinal microvascular segmentation via multi-scale topology regulation.

Optical coherence tomography angiography (OCTA) enables non-invasive visualization of retinal microv...

Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes.

The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly u...

Comparison of ChatGPT-4 and ChatGPT-4 Plus Responses to Retinopathy of Prematurity-Related Questions and Performance Evaluation in Different Languages.

PURPOSE: To compare the accuracy and performance of the ChatGPT-4 and ChatGPT-4 Plus (OpenAI) models...