Endocrinology

Urinary extracellular vesicle miRNA signature reflects pancreatic islet stress in type 2 diabetes.

INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early detection remains critical to prevent long-term complications. Urinary extracellular vesicle (ECV) microRNAs (miRNAs) have emerged as stable, non-invasive biomarkers with the potential to reflect systemic molecular alterations associated with metabol...

Identification and molecular typing of disulfidptosis-related biomarkers in anaplastic thyroid carcinoma.

Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closely associated with disulfidptosis in anaplastic thyroid carcinoma (ATC). Utilizing ATC-related datasets (GSE65144, GSE9115, GSE27155, and GSE53072) in conjunction with disulfide bond-related genes (DRGs) identified in the literature, differentially ex...

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predo...

Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortical carcinomas (ACCs); the latter are highly aggress...

An Interpretable Machine-Learning Model for Predicting Occult Central Lymph Node Metastasis in Papillary Thyroid Cancer.

CONTEXT: Accurate preoperative prediction of occult lymph node metastasis (OLNM) in clinically lymph node negative (cN0) papillary thyroid carcinoma (...

Graves' disease: a new era of pathophysiology-guided therapeutics.

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than half a century with radioactive iodine, antithyroi...

Game of clones: decipher lineage plasticity in hormone-driven cancers.

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormone receptors to sustain lineage identity and growt...

Gut microbiome and metabolic health: mechanisms and precision interventions.

The gut microbiome is increasingly recognized as a fundamental regulator of metabolic health, shaping energy balance, insulin sensitivity, inflammator...

AIGC-driven virtual patients for diabetes: a systematic review.

This systematic review (SR) examines the application of Artificial Intelligence-Generated Content (AIGC) in developing virtual patients (VPs) for diab...

Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.

BACKGROUND: Gestational diabetes mellitus (GDM) remains a prevalent and heterogeneous pregnancy complication with limited strategies for early identif...

A Comparative Assessment of Large Language Models in Congenital Hypothyroidism: Reliability, Quality and Readability.

OBJECTIVE: To comparatively evaluate the reliability, quality, and readability of responses generated by widely used large language model (LLM)-based ...

Technology in Diabetes: A Year in Review.

The past year has continued the rapid evolution of diabetes technology across the monitoring, delivery, analytics, and patient-support domains. Improv...

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification...

Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic-associated steatotic liver disease and type 2 diabetes mellitus.

BACKGROUND: Obesity-induced left ventricular diastolic dysfunction (LVDD), associated with ectopic fat and dysfunctional epicardial adipose tissue (EA...

Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study.

BACKGROUND: Digital twins (DTs) offer a paradigm for health care by enabling data-driven, simulation-capable representations of individual health traj...

A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis.

Hypothyroidism, caused by reduced thyroid-hormone production, is often difficult to diagnose because its symptoms are non-specific and overlap with ot...

PathoTiroid dataset: Indonesian collection (PTIC)-a histopathology image dataset for papillary thyroid carcinoma.

Traditional statistics and artificial intelligence-based prognostic models for predicting type 2 diabetes mellitus after gestational diabetes: a systematic review.

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

BACKGROUND: Vascular complications of Type 2 diabetes (T2D) significantly contribute to its morbidity and mortality. Identifying robust biomarkers is ...

Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging.

BACKGROUND Proptosis is a common manifestation of orbital disease; however, current diagnostic tools, such as the Hertel exophthalmometer and manual r...