Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: Precise mealtime insulin bolus (MIB) dosing is essential in type 1 diabetes (T1D) to minimize glucose excursions from carbohydrate intake. Traditional MIB formulas, based on glucose concentration at mealtime, are suboptimal and do not exploit real-time data from continuous glucose monitoring (CGM). Existing methods that incorporate CGM data often rely on empirical rules or are developed...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology, recent advances in deep learning (DL) have enabled computational analysis of histological samples, aiding in diagnosis and characterization in multiple disease areas. In cancer, and particularly endocrine cancer, DL approaches have been shown to be useful in tasks ranging from tumor grading to gene...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...
BACKGROUND: Family history of pancreatic cancer (PC), pathogenic germline variants (PGVs), and increased intrapancreatic fat (IPF) are individually as...
PURPOSE: To evaluate the diagnostic accuracy, clinical utility, and workflow integration of artificial intelligence (AI)-assisted sonography for the a...
Thyroid cancer is one of the most prevalent malignancies of the endocrine system, comprising various subtypes such as papillary thyroid carcinoma (PTC...
Noninvasive wearable sweat sensors are promising for personalized health management, yet their widespread adoption is hindered by complex multi-compon...
The rapid expansion of chemical production and use has increased human exposure to environmental chemicals that can impact biological pathways relevan...
BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learning (ML) techniques to identify comorbidity-based a...
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...
BACKGROUND: Gestational diabetes mellitus (GDM) affects 1-in-7 pregnancies globally and is associated with significant short- and long-term health con...
OBJECTIVES: Acute pancreatitis (AP) carries a high mortality risk in ICU patients. The glucose-to-albumin ratio (GAR), reflecting metabolic stress and...
BACKGROUND: Deep-learning models are capable of predicting age from retinal scans and the difference between this and chronological age, retinal age g...
INTRODUCTION: Polyendocrine Metabolic Ovarian Syndrome (PMOS) is an endocrine disorder characterized by metabolic dysfunction, hormonal imbalance, inf...
Endocrine-disrupting chemicals (EDCs) are widely present in the environment and consumer products and may disturb thyroid hormone homeostasis. However...
BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to...
Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy selection, early diagnosis, and real-time disease m...
BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...
Artificial intelligence (AI) is transforming thyroid care, with applications spanning ultrasound risk stratification, cytopathology, histopathology, r...
BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...