Latest AI and machine learning research in endocrinology for healthcare professionals.
Large language models are increasingly deployed in clinical decision-support contexts, yet systemati...
We present a digital twin framework for real time glucose monitoring and forecasting in septic patie...
Clinical time-series forecasting is increasingly studied for decision support, yet standard aggregat...
The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (A...
The pituitary gland operates as an organized signaling network in which endocrine cell populations c...
Background: Diabetic retinopathy (DR) is the leading cause of preventable blindness among working-ag...
Objective To develop and evaluate a novel machine learning (ML) framework tailored to a clinical dia...
Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for relia...
Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasing...
Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormon...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
Multimodal learning has the potential to improve clinical prediction by integrating complementary da...
Introduction: Accurate stratification of hard atherosclerotic cardiovascular disease (ASCVD) risk re...
Brain tumors represent one of the most critical neurological conditions, where early and accurate di...
Abstract Background Diabetic Retinopathy (DR) is one of the leading cause of vision loss and blindne...
Background and aims: Direct evidence to connect early life metabolism with cardiometabolic diseases ...
Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid car...
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. Ho...
Plasma membrane homeostasis requires balanced exocytosis and endocytosis, yet their coordination at ...
Thyroid nodule classification using ultrasound imaging is essential for early diagnosis and clinical...
Diabetes mellitus affects over 537 million adults worldwide. Insulin-dependent patients require cont...