Endocrinology

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

Barriers and Enablers Influencing the Implementation of Artificial Intelligence for Diabetic Retinopathy Screening in Clinical Practice: A Scoping Review.

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness worldwide. Meanwhile, a...

Predictive Modelling Using Thyroid Cartilage Segmentation and Radiomic Features: A Feasibility Study.

UNLABELLED: Laryngeal cancer, one of the top three head and neck cancers, requires timely diagnosis ...

KEM-IoMT: Knowledge graph embedding-enhanced accurate medical service recommendation against diabetes.

The Internet of Medical Things (IoMT)-enhanced Recommender System (RS) acquired swift advancement in...

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study.

BACKGROUND: Diabetic foot problems are among the most debilitating complications of diabetes mellitu...

Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.

BACKGROUND: Endometriosis and breast cancer are significant global health burdens affecting women wo...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Identification of stemness subtypes and prognostic modeling in thyroid cancer: the critical role of DPYSL3 in tumor progression and immune microenvironment.

PURPOSE: The objective of this study was to develop and evaluate a novel classifier and prognostic m...

Micropore array-based SERS sensor assisted by convolutional neural networks for subsurface biotoxic-free detection of interstitial fluid in bioassays.

Accurate and sensitive detection of small-molecule metabolites such as uric acid, glucose, and lacti...

Commentary on "Photodiagnosis with deep learning: A GAN and autoencoder-based approach for diabetic retinopathy detection" by Gencer et al., 2025.

Construction of a PANoptosis-Related Gene Signature for Diabetic Nephropathy.

INTRODUCTION: Diabetic nephropathy (DN) is a serious complication of diabetes. In this study, we aim...

Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires se...

Adipose-Derived Mesenchymal Stem Cells Accelerate Diabetic Foot Ulcer Healing by Promoting Macrophage M2 Polarization Through Downregulation of and .

PURPOSE: Macrophage polarization plays a critical role in the chronic wound healing of diabetic foot...

Preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic retinopathy: a narrative review.

PURPOSE OF REVIEW: To highlight various preventive and therapeutic strategies via health care delive...

Direct-to-Consumer Testing: Relevance for Diabetes Therapy.

The performance of laboratory measurements by the people with diabetes (PwD) themselves ("direct-to-...

A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach.

Non-adherence to medications is a critical concern since nearly half of patients with chronic illnes...

Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases.

Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical inf...

Fully Wearable Devices for Real-Time Health Monitoring and Multimodal Sensing in Nanomedicine Using Multiplexed Green Biofuels.

Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack ...

Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multi...

Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma.

Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as pituitary neuroendo...

Association of urinary metal elements with sarcopenia and glucose metabolism abnormalities: Insights from NHANES data using machine learning approaches.

BACKGROUND: Sarcopenia, a condition marked by the decline of skeletal muscle mass and function, is p...