Latest AI and machine learning research in endocrinology for healthcare professionals.
Pregnancy is a vulnerable window for environmental pollutant exposure, yet the contribution of metal...
Triple-negative breast cancer (TNBC), a highly aggressive molecular subtype characterized by a lack ...
Women's reproductive and endocrine disorders including Polycystic Ovary Syndrome (PCOS), endometrios...
High-dimensional near-infrared (NIR) spectroscopy datasets are characterized by strong wavelength co...
BACKGROUND AND OBJECTIVE: Cardiac surgeries are associated with a range of serious postoperative com...
OBJECTIVE: The lipid paradox suggests low LDL-C is paradoxically associated with poor outcomes, yet ...
To investigate the causal relationship between type 2 diabetes mellitus (T2DM) and fracture and iden...
BACKGROUND: Men attending ART clinics often have poor fertility awareness and are typically overlook...
BACKGROUND: The European Association for the Study of the Liver (EASL) metabolic dysfunction-associa...
BACKGROUND: Traditional Chinese medicine (TCM) constitution is a structured health state taxonomy us...
Precision nutrition tailors dietary guidance to individual biological, genetic, metabolic, and behav...
UNLABELLED: Artificial intelligence (AI) is rapidly transforming both pediatric healthcare and every...
BACKGROUND: AI is increasingly being integrated into diabetes care, with growing evidence supporting...
BACKGROUND: Chronic kidney disease (CKD) has a complex pathogenesis. Exposure to bisphenol A (BPA) i...
OBJECTIVES: This study aimed to systematically evaluate the predictive performance of machine learni...
Diabetes mellitus represents a major public health challenge in Saudi Arabia. This study investigate...
PURPOSE: Develop an interpretable machine learning model and evaluate the predictive and potential c...
BACKGROUND: Type 1 diabetes is characterized by absolute insulin deficiency, requiring exogenous ins...
BACKGROUND: Obesity hypoventilation syndrome (OHS) is frequently underdiagnosed, which substantially...
Early identification of high-risk individuals is key for type 2 diabetes prevention. This study comb...
Human populations and ecosystems are continuously exposed to complex mixtures of environmental conta...