Latest AI and machine learning research in endocrinology for healthcare professionals.
Research on theoretical prediction methods for elucidating the reaction mechanisms and thyroid hormo...
The synchronous monitoring of stress hormones and metabolic indicators is crucial for long-term heal...
BACKGROUND: Automated identification of postprandial glucose responses (PPGR) from continuous glucos...
INTRODUCTION: Hormone deficiency states are increasingly recognized as important, yet often underapp...
AIMS: Diabetes mellitus shortens life expectancy, driven primarily by premature mortality from vascu...
Type 2 diabetes (T2D) and its complications represent a complex disorder involving multiple pathophy...
The de novo design of small-molecule-binding proteins holds great promise as a potential tool to dev...
PURPOSE: To evaluate longitudinal change in hard exudate (HEs) volume over 5-years following anti-VE...
AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental ...
BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-meta...
PURPOSE: Artificial intelligence (AI) has emerged as a pivotal tool in enhancing the management of g...
AIMS: To evaluate county-level incidence of diagnosed diabetes and key sociodemographic factors in a...
BACKGROUND: Determination of estrogen receptor (ER) and progesterone receptor (PR) status is critica...
Machine Learning (ML) and Artificial Intelligence (AI) approaches have potential to make better-info...
OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction,...
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progeste...
BACKGROUND & AIMS: Resmetirom, a thyroid hormone beta (THR-β) agonist, has been shown to improve met...
BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated s...
The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on c...
INTRODUCTION: Diabetes remains a global public health concern, with increased prevalence and a signi...
Implantable microelectrode biosensors enable the monitoring of neurometabolic markers with high spat...