Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic resonance imaging (MRI) signs are considered supportive, while lumbar puncture remains the diagnostic reference. OBJECTIVE: We evaluated whether a compact set of conventional magnetic resonance imaging markers, analyzed with supervised machine-learning, can assist in the diagnosis of idiopathic intr...
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is commonly prepared in Escherichia coli (E.coli )for laboratory research and related biosynthetic applications. In small-scale laboratory cultivation, complex media are often used because of their convenience and strong growth-supporting capacity, but their ill-defined composition and batch-to-batch vari...
Screening for endogenous anabolic-androgenic steroid abuse has long relied on the urinary testosterone/epitestosterone (T/E) ratio. However, this metr...
We systematically map the evidence on optical coherence tomography (OCT) biomarkers-mainly disorganization of the retinal inner layers (DRIL), disrupt...
Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulati...
BACKGROUND: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for stroke risk. We aimed to explore the relationship b...
Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosi...
BACKGROUND: Sarcopenia is a major age-related health burden. Although the uric acid to high-density lipoprotein cholesterol ratio (UHR) has been linke...
BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...
OBJECTIVE: Advanced cardiovascular-kidney-metabolic (CKM) syndrome carries substantial mortality risk, yet the independent and joint prognostic roles ...
RATIONALE AND OBJECTIVES: In clinical practice, the preoperative risk assessment of adrenal metastases versus benign adrenal lesions carries a substan...
Diabetic retinopathy (DR) develops via complex interactions of multiple risk factors and molecular pathways. However, the association between oxidativ...
Diabetes is a common chronic disease that needs early diagnosis and proper management to avoid severe complications. While current Artificial Intellig...
Women with a history of gestational diabetes mellitus (GDM) are at elevated risk of developing type 2 diabetes mellitus (T2DM) postpartum. This study ...
This scoping review explores how machine learning (ML) has been applied to stroke research within the Earlier Medicine framework, which promotes proac...
Prediabetes (PD), a reversible metabolic condition that precedes type 2 diabetes (T2DM), carries a high risk of progression to T2DM, but can be effect...
This study focuses on AI-based quantification of socioeconomic disparities within society. Specifically, we investigate whether embeddings derived fro...
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...
This study identified thrombospondin-1 (THBS1) as a potential biomarker for polycystic ovary syndrome (PCOS) and its pivotal role in disease pathogene...
INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly among at-risk populations such as patients with ob...