Latest AI and machine learning research in endocrinology for healthcare professionals.
Human well-being can be affected by exposure to several chemicals in the environment. One such group...
Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture syst...
PURPOSE: Differentiating the underlying pathology of macular edema in patients with diabetic retinop...
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects and low DR sc...
The ovary is a complex endocrine organ that shows significant structural and functional changes in t...
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time con...
Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which ...
BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from muta...
Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical app...
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic cont...
Breast cancer is a leading cancer type and one of the major health issues faced by women around the ...
BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric ima...
Mitochondrial psychobiology is the study of the interactions between psychological states and the bi...
BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people e...
 The complications that arise when performing meta-analysis of datasets from multiple metabolomics s...
We have attempted to reproduce the results in Development and validation of a deep learning algorith...
INTRODUCTION: The 5-hydroxytryptamine 2C receptor (HTR2C) rs6318 polymorphism has been associated wi...
In this addendum to the above paper, the Society for Endocrinology Clinical Committee and the origin...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
BACKGROUND: This study aimed to establish an artificial neural network (ANN) model based on variant ...
Adrenalectomy can be performed open, endoscopically or robotically, utilizing a transabdominal or re...