Latest AI and machine learning research in endocrinology for healthcare professionals.
AIMS: To develop and validate a machine learning model incorporating continuous glucose monitoring (...
Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neurop...
Endocrine therapies initially enforce lineage identity in hormone-driven cancers, yet sustained horm...
BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals w...
Manufacturing scalability and cost efficiency of Lentiviral vector (LV) production for gene therapy ...
Infertility affects 15-20% of the reproductive-age population, and assisted reproductive technologie...
Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). H...
BACKGROUND: Bone age (BA) is the gold standard for skeletal maturity assessment but is not routinely...
INTRODUCTION: Climate change has increased the incidence of compound stresses, including the co-occu...
BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and lo...
Diabetic kidney disease (DKD) involves complex inflammatory and microvascular injury, but cell-speci...
BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and conf...
This scoping review synthesized clinical validation evidence of artificial intelligence (AI) algorit...
INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard ...
This paper introduces a hybrid deep learning model combining ConvNeXt and Swin Transformer for class...
PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous ...
Artificial intelligence (AI) is rapidly moving from conceptual innovation to high-performing algorit...
Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the unde...
BACKGROUND: Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular, neur...
The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral sym...
OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 ...