Endocrinology

Diabetes

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

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Neovascular Glaucoma at a Tertiary Centre in Finland, 2008-2024: A Retrospective Cohort Study

Background/Aims: Neovascular glaucoma (NVG) is an aggressive secondary glaucoma with limited longitu...

Title: Zero-shot automated insulin delivery for type 1 diabetes via dynamic physiology-aware reinforcement learning

Insulin therapy for type 1 diabetes requires continual dose adjustment to meals, activity, stress, i...

Glycemic response trajectories on metformin monotherapy in real-world diabetes care

Objectives: Diabetes affects over 500 million people globally and glycemia is inadequately managed. ...

Implementation of Big Data Analytics for Diabetes Management: Needs Assessment in the Rwanda Healthcare System

Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed an...

Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification

Self-Supervised Learning (SSL) has emerged as a powerful paradigm to mitigate the reliance on large,...

Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening

Modern deep learning offers powerful tools for automated retinal screening, but it remains unclear h...

ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation

Biomedical image segmentation is a critical task in medical diagnosis and treatment planning, enabli...

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes

Diabetes is a global health burden, and early detection is critical for timely intervention. This st...

Towards Clinically Interpretable Ophthalmic VQA via Spatially-Grounded Lesion Evidence

Visual Question Answering (VQA) holds great promise for clinical support, particularly in ophthalmol...

Predicting 30-Day Heart Failure Readmissions Using Machine Learning: Insights From the Kansas Health Information Network (KHIN)

Background: Heart failure (HF) is a major contributor to inpatient hospital utilization, with persis...

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

Light microscopy imaging with histological stains is central to disease diagnosis and research. It i...

Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy

Whether individual transcripts carry intrinsic features that predetermine their response to external...

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

Purpose: In clinical practice, accurate prediction of disease risk must be accompanied by transparen...

Elevated serum apolipoprotein B and lipoprotein remodelling distinguish adults with HLH from HLH mimics and controls

Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome cha...

Artificial intelligence-generated digital Romberg test for peripheral neuropathy monitoring.

Background and Objectives Patients with peripheral neuropathies (PN) commonly exhibit balance impair...

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning

Diabetic Retinopathy (DR) is an art and science of recording and classifying the retinal images of a...

InterScale reveals multi-scale cellular interaction programs in spatial transcriptomics

Tissue homeostasis and disease emerge from cell-cell interactions operating across spatial scales: f...

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation

Diabetic Retinopathy (DR) is a leading cause of preventable blindness among working-age adults world...

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