Endocrinology

Diabetes

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

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PRISM-DR: Per-lesion Retinal Inference with Specialist Models for Diabetic Retinopathy

Diabetic retinopathy is a leading cause of preventable blindness; its early lesions are small, low c...

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions...

CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data

Cardiometabolic diseases remain among the most persistent drivers of preventable morbidity because d...

Life-Stage Heterogeneity in the Mental Health Treatment Gap: An Unsupervised Machine Learning Profiling of Symptomatic US Adults

Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the m...

SURPASS-HF: Safety and Utility of Remote Pulmonary Artery Sensor Shared-management in Heart Failure

_ SURPASS-HF: Safety and Utility of Remote Pulmonary Artery Sensor Shared-management in Heart Failur...

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization

Medical image classifiers are often trained within one source population, yet clinical deployment re...

Autonomous computational prioritisation of colorectal cancer vulnerabilities via multi-scale AI swarms

The acceleration of automated scientific discovery has been fundamentally bottlenecked by the episte...

Association between glycated hemoglobin A1c and automated abdominal aortic calcification: the UK Biobank Imaging Study

Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it ...

Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy

Diabetic retinopathy (DR) is a local retinal lesion process and a visible manifestation of systemic ...

A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk

While Photoplethysmography (PPG) is established as a noninvasive optical tool for monitoring heart r...

Effects of gabapentin on ongoing behaviors displayed by mice with chemotherapy neuropathy

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and painful side effect of paclitaxel ...

Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-wo...

Interventional Flow Matching: Prospective Dose-Response Forecasting with Velocity-Field Jacobian Regularization

Predicting a patient's physiological trajectory under a planned treatment sequence is a prospective ...

A Dual Edge Spatial Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading

Automated diabetic retinopathy (DR) grading from colour fundus photographs can achieve strong predic...

Machine learning-based modeling to predict inhibitors for targets of Alzheimer's Disease

Alzheimer's Disease is a chronic neurodegenerative disorder projected to affect 115 million people b...

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