Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults w...
Brain tumor classification from magnetic resonance imaging (MRI) remains challenging because tumor a...
Neoadjuvant therapy (NAT) has emerged as a standard treatment strategy for locally advanced breast c...
The aim of this study is to develop an innovative method of machine learning combining metabolomic a...
BACKGROUND: The precise prognostic stratification of intrahepatic cholangiocarcinoma (iCCA) remains ...
Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computation...
Direct mass spectrometry (MS) analysis of human tissues at the molecular level has great potential f...
Continuous glucose monitoring (CGM) provides dense and dynamic glucose profiles that enable reliable...
PURPOSE: Pituitary adenoma resection via the endoscopic transsphenoidal approach is technically dema...
Phthalate plasticizers, especially diethyl phthalate (DEP), are linked to metabolic disorders, while...
BACKGROUND: Approximately 40% of patients with hormone receptor-positive (HR+), human epidermal grow...
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) l...
The aim of this study is to develop an artificial intelligence (AI)-driven pipeline for forecasting ...
AIMS: To establish a model to predict cardiovascular risk and identify treatment response for patien...
Thyroid nodule ultrasound (US) images and their features are of great importance in thyroid nodule d...
OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine...
OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and ob...
BACKGROUND: The human microbiome profoundly influences the host plasma metabolome and health, but mo...
Rapid and accurate detection of pathogenic bacteria remains essential for infection control and time...
Advances in additive manufacturing, particularly 3D and multidimensional printing, have enabled unpr...
Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death ...