Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: The aim of the present paper is to construct an emulator of a complex biological system ...
BACKGROUND: Among patients with type 2 diabetes, minority racial/ethnic groups have a higher burden ...
Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the d...
BACKGROUND: Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal ophthalm...
INTRODUCTION: Type 1 diabetes mellitus (T1DM) is one of the most frequent autoimmune diseases in chi...
While the construction of a dependable force field for performing classical molecular dynamics (MD) ...
Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surp...
IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early det...
PURPOSE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness related to oxyge...
Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet,...
The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (...
INTRODUCTION: Oxidative stress is crucial in diabetic pathophysiology, hence the prerequisite of ing...
Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...
BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from ...
PURPOSE: To evaluate the performance of a federated learning framework for deep neural network-based...
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-...
PURPOSE: The purpose of this study is to develop and validate the intelligent diagnosis of severe DR...
The remarkable advancements in biotechnology and public healthcare infrastructures have led to a mom...
Identification of medical conditions using claims data is generally conducted with algorithms based ...
A growing number of smart wearable biosensors are operating in the medical IoT environment and those...
Oral administration is the most convenient and commonly used approach for drug delivery, while it is...