Endocrinology

Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.

High-throughput screening and computational models have been effective in predicting chemical intera...

Developing a Two-Dimensional Size-Exclusion Liquid Chromatography Platform for Isolating the High-Quality Extracellular Vesicles to Predict and Evaluate Metabolic Improvement Outcomes of Sleeve Gastrectomy.

The direct analysis of plasma exosomal components still presents significant challenges due to the i...

Global Thyroid Cancer Patterns and Predictive Analytics: Integrating Machine Learning for Advanced Diagnostic Modelling.

BACKGROUND: The global increase in thyroid cancer prevalence, particularly among female populations,...

A supervised machine learning approach for predicting the need for postsurgical intervention in acromegaly.

OBJECTIVE: Patients with growth hormone (GH)-secreting pituitary adenomas (PAs) experience various s...

Deep learning-enhanced image analysis for liquid crystal optical sensing.

In liquid crystal (LC) sensors, each microliter of LC contains billions of molecules with numerous o...

Equitable Deep Learning for Diabetic Retinopathy Detection Using Multidimensional Retinal Imaging With Fair Adaptive Scaling.

PURPOSE: To investigate the fairness of existing deep models for diabetic retinopathy (DR) detection...

Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.

Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, the...

Sparse group LASSO and nonlinear machine learning for frequency-feature optimization in noninvasive blood glucose monitoring via bioimpedance spectroscopy.

Diabetic patients need to test their blood glucose levels (BGL) frequently; however, traditional met...

Recommendations for the Management of Diabetes During Ramadan Applying the Principles of the ADA/ EASD Consensus: Update 2025.

Ramadan fasting is a sacred ritual observed by approximately 1.8 billion Muslims each year, most of ...

Integrative analyses of 16S rDNA sequencing and serum metabolomics demonstrate significant roles for the oral microbiota and serum metabolites in post-kidney transplant diabetes mellitus.

Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...

The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes.

This consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screeni...

Artificial intelligence and diabetes: time for action and caution.

Transforming the management of radiotherapy-induced hypothyroidism in nasopharyngeal carcinoma through an Innovative individualized radiation dosage model: A multicenter retrospective analysis.

PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to cons...

Risk prediction models for patients with recurrent diabetic foot ulcers: A systematic review.

OBJECTIVES: To systematically review published studies on risk prediction models for patients with r...

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes.

Training neural networks (NNs) to behave as model predictive control (MPC) algorithms is an effectiv...

MIP-based electrochemical sensor with machine learning for accurate ZIKV detection in protein- and glucose-rich urine.

Nowadays, a multitude of biosensors are being developed worldwide. However, a significant challenge ...

Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.

BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patient...

Predicting treatment outcome in congenital adrenal hyperplasia using urine steroidomics and machine learning.

OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains uns...

Machine Learning Prediction of Pancreatitis Risk With Antithyroid Drugs: A Nationwide Retrospective Observational Study.

BACKGROUND: In recent years, there has been increasing data showing that the risk of acute pancreati...

Structural Insights into the Substrate Egress Pathways Explains Specificity and Inhibition of Human Glucose Transporters (GLUT1 and GLUT9).

Glucose transporters (GLUTs) play critical roles in cellular energy homeostasis and substrate-specif...

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study.

BACKGROUND: Insulin resistance (IR), a precursor to type 2 diabetes and a major risk factor for vari...