Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Developing muscarinic receptor M1 classification models utilizing transfer learning and generative AI techniques.

Muscarinic receptor subtype 1 (M1) is a G protein-coupled receptor (GPCR) and a key pharmacological ...

The march to harmonized imaging standards for retinal imaging.

The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...

Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.

Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...

A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.

While continuous glucose monitoring (CGM) has revolutionized metabolic health management, widespread...

The iCARE-DM Model for Five-Year T2DM Risk Prediction in the Elderly Population from Chinese Routine Public Health Services - China, 2017-2024.

INTRODUCTION: Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes M...

Eliciting the Impact of Metformin and Statins on Prostate Cancer Outcomes from a Real-life National Database Analysis.

Several large analyses have revealed contradictory results regarding the association between prostat...

Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.

The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest i...

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study.

BACKGROUND: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the tran...

The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study.

BACKGROUND: People living with chronic diseases are increasingly seeking health information online. ...

Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions.

Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...

Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization.

BACKGROUND: Epstein-Barr virus (EBV) is a ubiquitous herpesvirus that is known to cause infectious m...

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...

Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.

IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insuli...

Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...

The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns.

INTRODUCTION: Continuous glucose monitoring (CGM) is emerging as a transformative tool for helping p...

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