Endocrinology

Diabetes

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

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Comprehensive molecular impact mapping of common and rare variants at GWAS loci

Deep learning sequence to function models can predict the molecular effects of genetic variants, but...

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CF-NODE: Counterfactual Spatial Node Intervention for Test-Time Adaptation Under Domain Shift, Evaluated Across Five Diabetic Retinopathy Datasets

Automated fundus-based diabetic retinopathy (DR) grading can substantially expand screening capacity...

HierarchiRetina: A Diabetic Retinopathy Screening and Grading Cascade with Heterogeneous Mixture-of-Experts Lesion Segmentation

Clinical screening for diabetic retinopathy proceeds in stages, yet most automated systems grade fun...

GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer

Continuous glucose monitoring (CGM) foundation models encode each day as one vector that mixes who t...

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RFM: A Lightweight Retinal Foundation Model for Generalised Oculomics

Foundation models for colour fundus photography (CFP) are candidate visual encoders for multimodal m...

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MedCORE: Criteria-Grounded Clinical Reasoning for Interpretable Medical Image Diagnosis

Clinical diagnosis is inherently a structured reasoning process, yet existing deep learning models o...

Patterns of GLP-1 Receptor Agonist Initiation Compared With Other Glucose-Lowering and Anti-Obesity Therapies Among Older Adults

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primaril...

Genetic risk and inflammatory signaling converge on cell type-specific regulatory programs in type 1 diabetes

Type 1 diabetes (T1D) is a complex autoimmune disease characterized by the destruction of insulin-pr...

From seven combination hypotheses to one testable interaction: a gated agentic AI QSP workflow applied to healthy ageing interventions

Large language model (LLM) agents can propose combination therapies and construct supporting mechani...

FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs

Progress in AI-based retinal image analysis has advanced with foundation models, yet evaluating thei...

Peer-Grounded Counterfactual Path Planning for Chronic Health Management

Effective behavioral intervention in chronic disease management requires not a single prescription b...

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Continuous glucose monitoring (CGM) provides high-frequency measurements of glucose dynamics and ena...

DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction

Pretrained diabetic retinopathy (DR) prediction models differ in their input fields, serialization f...

HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care

As medical wearables become integrated into daily chronic disease care, effectively interpreting lon...

Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers

Normative age models are trained to predict chronological age in a nominally healthy cohort. Applied...

Deep visual proteomics reveals distinct proximal tubular and glomerular injury programs in experimental diabetic kidney disease

Background: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD). Howe...

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