Latest AI and machine learning research in endocrinology for healthcare professionals.
With the development of computed tomography (CT), the contrast-enhanced CT scan is widely used in th...
INTRODUCTION: The first line of treatment for people with Diabetes mellitus is metformin. However, o...
Background Small molecule kinase inhibitors (KIs) are a class of agents currently used for treatment...
Machine learning techniques combined with wearable electronics can deliver accurate short-term blood...
BACKGROUND: Diabetes Mellitus is an increasingly prevalent chronic disease characterized by the body...
BACKGROUND: This case report intends to highlight the challenge in diagnosing type 1 diabetes on an ...
How to differentiate thyroid cancer nodules from a large number of benign nodules is always a challe...
OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Inf...
BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer...
Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting...
Enzymes are biological catalysts with many industrial applications, but natural enzymes are usually ...
AIM: To assess the potential of supervised machine-learning techniques to identify clinical variable...
OBJECTIVE: To establish non-inferiority of gonadotropin-releasing hormone degarelix compared with go...
INTRODUCTION: As one of the most prevalent chronic diseases in the United States, diabetes, especial...
Recently, successful predictions using machine learning (ML) algorithms have been reported in variou...
Statistical experimental methods were used to optimize the medium for mass production of a novel lac...
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challe...
RATIONALE & OBJECTIVE: The accuracy of glycated hemoglobin (HbA) level for assessment of glycemic co...
PURPOSE: To evaluate 2 published normal tissue complication probability models for radiation-induced...
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adre...