Endocrinology

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

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Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning.

Diabetic kidney disease (DKD) is a major cause of end-stage renal disease globally, with podocytes b...

A preliminary exploration of surgical strategies for solitary papillary thyroid carcinoma on the isthmus.

BACKGROUND: For solitary papillary thyroid carcinoma on the isthmic (SPTCI), there are currently no ...

Robotics Use in the Care and Management of People Living With Diabetes Mellitus: A Scoping Review.

BACKGROUND: Diabetes prevalence is rising and projected to affect 783 million globally by 2045. Effe...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Design of a Wearable Finger PPG-Based Blood Glucose Monitor.

PURPOSE: Blood glucose monitoring is crucial for controlling diabetes. However, traditional fingerti...

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both...

Large language models: unlocking new potential in patient education for thyroid eye disease.

PURPOSE: This study aims to evaluate the performance of three large language models (LLMs) in genera...

Machine learning classification of steatogenic compounds using toxicogenomics profiles.

The transition toward new approach methodologies for toxicity testing has accelerated the developmen...

Diabetic retinopathy detection from fundus images: A wide survey from grading to segmentation of lesions.

Diabetes is one of the most common diseases worldwide and requires accurate diagnosis. Patients with...

AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.

BACKGROUND: Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabet...

Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.

The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in ...

Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.

This study systematically develops and evaluates the application value of the PCOS-GPT system, an ar...

Deep learning-based ultrasound diagnostic model for follicular thyroid carcinoma.

OBJECTIVES: It is challenging to preoperatively diagnose follicular thyroid carcinoma (FTC) on ultra...

An in silico to in vivo approach identifies retinoid-X receptor activating tert-butylphenols used in food contact materials.

The potential for food contact chemicals to disrupt genetic programs in development and metabolism r...

Heterogeneity in associations between food insecurity and diabetes outcomes.

BACKGROUND: Food insecurity is associated with worse diabetes outcomes, but how that association may...

Revolutionizing personalized medicine using artificial intelligence: a meta-analysis of predictive diagnostics and their impacts on drug development.

Artificial intelligence (AI) is transforming the landscape of laboratory medicine by enhancing diagn...

An AI-assisted tool for automated growth monitoring in pediatric achondroplasia.

UNLABELLED: Growth assessment in achondroplasia requires disorder-specific growth charts incorporati...

DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative.

Diabetes Mellitus is a global health concern, characterized by high blood sugar levels over a prolon...

Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.

Elevated postprandial glucose levels present a global epidemic and a major challenge in type-2 diabe...

From omics to AI-mapping the pathogenic pathways in type 2 diabetes.

Understanding the biochemical pathways and interorgan cross talk underlying type 2 diabetes (T2D) is...

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