Latest AI and machine learning research in endocrinology for healthcare professionals.
Current antiresorptive therapies reduce bone loss by eliminating osteoclasts or inhibiting their for...
BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The...
Inverse design of terahertz (THz) metasurfaces via algorithmic models has become a mainstream trend ...
BACKGROUND: Prognosis remains heterogeneous among critically ill patients with acute kidney injury (...
BACKGROUND: Multimodal large language models (LLMs) are increasingly being explored for medical imag...
BACKGROUND: Rheumatoid arthritis (RA) is an inflammatory autoimmune disease in which the immune syst...
RATIONALE AND OBJECTIVES: To develop a non-invasive, efficient and accurate auxiliary tool for the p...
This study aimed to identify novel biomarkers of atopic dermatitis (AD) and investigate their pathog...
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically chall...
OBJECTIVE: This study sought to quantify, through a multi-reader study, whether AI assistance improv...
Pituitary disorders often include complex radiology imaging, rare clinical presentations, and need f...
BACKGROUND: To examine global research activity in the application of artificial intelligence, large...
Nuclear receptor ligand interaction landscapes remain incompletely characterized, particularly at th...
The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic di...
Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic...
Diabetic encephalopathy (DE) is a serious complication of diabetes mellitus characterized by progres...
BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmente...
Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple ma...
BACKGROUND: Continuous glucose monitoring (CGM) sensors are vulnerable to pressure-induced sensor at...
Precision nutrition on a global scale necessitates an understanding of food not as static collection...
Diabetes represents a significant global health challenge, underscoring the need for enhanced method...