Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Diabetic retinopathy classification using a multi-attention residual refinement architecture.

Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading ...

Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.

Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome....

Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models.

Accurate forecasting of diabetes burden is essential for healthcare planning, resource allocation, a...

Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options.

BACKGROUND: Automated insulin delivery (AID) has revolutionized glucose management. Next-generation ...

A Co-Plane Machine Learning Model Based on Ultrasound Radiomics for the Evaluation of Diabetic Peripheral Neuropathy.

RATIONALE AND OBJECTIVES: Detection of diabetic peripheral neuropathy (DPN) is critical for preventi...

Finerenone Modulates PANoptosis to Improve Immune Microenvironment in Diabetic Nephropathy: A Machine Learning-Based Mechanistic Analysis.

Diabetic nephropathy (DN) is characterized by nephron degeneration induced by hyperglycemia, driven ...

Identification and experimental validation of mitochondrial and endoplasmic reticulum stress related gene in diabetic nephropathy.

Diabetic nephropathy (DN) is a kidney disease. Mitochondrial and endoplasmic reticulum stress (ERS) ...

Urinary Complement proteome strongly linked to diabetic kidney disease progression.

Diabetic kidney disease (DKD) progression is not well understood. Using high-throughput proteomics, ...

AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.

Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if ...

Circulating epigenetic signatures classifying brain insulin resistance in humans.

Brain insulin action plays an important role in metabolic and cognitive health, but there is no biom...

ATLASS: An AnaTomicaLly-Aware Self-Supervised Learning Framework for Generalizable Retinal Disease Detection.

Medical imaging, particularly retinal fundus photography, plays a crucial role in early disease dete...

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and...

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individ...

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for det...

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for pre...

Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level.

A growing body of literature supports the association between ambient particulate pollution and the ...

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