Endocrinology

Diabetes

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

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Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data

Healthcare decision-making requires not only accurate predictions but also insights into how facto...

Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback

Reinforcement learning (RL) has demonstrated success in automating insulin dosing in simulated typ...

Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye

The prevalence of ocular illnesses is growing globally, presenting a substantial public health cha...

Predicting Diabetic Retinopathy Using a Machine Learning Approach Informed by Whole-Exome Sequencing Studies.

OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a...

Jan 2025 39924156
AI-Driven Diabetic Retinopathy Screening: Multicentric Validation of AIDRSS in India

Purpose: Diabetic retinopathy (DR) is a major cause of vision loss, particularly in India, where a...

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends

The emergence of artificial intelligence (AI), particularly deep learning (DL), has marked a new e...

Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN

Diabetic Retinopathy (DR) is a major cause of blindness worldwide, caused by damage to the blood v...

Implications of Artificial Intelligence on Health Data Privacy and Confidentiality

The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical dia...

Host Microenvironment Reprogramming by Saccharides Overcomes Lung Barriers for mRNA Therapeutics

Overcoming biological barriers remains the paramount challenge for pulmonary mRNA therapeutics. Conv...

Machine Learning-Based Bioactivity Prediction of Potential PPAR-γ Agonists for the Management of Diabetes

This research paper presents a machine learning approach to predict bioactivity of compounds that ca...

Non-segmented unsupervised learning of multispectral whole slide images for robust analysis of tissue repair and regeneration

Analyzing whole tissue architecture remains challenging due to the inherent complexity of multicellu...

Comparative Machine Learning Analysis of Saliva and Plaque Microbiomes in Children with Type 1 Diabetes

Type 1 diabetes (T1D) is associated with microbial dysbiosis. While most research has focused on the...

Single-cell proteomics of pancreatic islet cells reveals type 1 diabetes and donor-specific features

Type 1 diabetes mellitus (T1DM) is the most common severe chronic disease in children and adolescent...

Supervised machine learning identifies impaired mitochondrial quality control in β cells with development of type 2 diabetes

In type 2 diabetes (T2D), molecular pathways driving β cell failure are difficult to resolve with st...

A blueprint for mutation-defined hallmark vulnerabilities across human cancers

Hallmark gene mutations shape cancer cell vulnerabilities and inform drug discovery1–3. A systematic...

Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping

Accurate retinal Microvascular segmentation demands a balanced combination of anatomical fidelity an...

Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images

The widths of kidney glomerular basement membrane (GBM) and podocyte foot processes (FP) are essenti...

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