Diabetes

Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative.

BACKGROUND: New York City (NYC) launched the HealthyNYC initiative in 2025, aiming to reduce cardiov...

Therapeutics candidates and repurposing strategies to target parkinson's disease pathology: current evidence and future directions.

Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder worldwide, affectin...

MitoLatentProfiler: ROI-constrained deep learning for mitochondrial phenotyping in human myotubes.

Mitochondrial network organization in skeletal muscle reflects metabolic health and is disrupted in ...

Patient satisfaction and performance of the A8+ TouchCare Nano in children and adolescents with type 1 diabetes mellitus.

BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is con...

Dietary macronutrient intake and the gut microbiome in adults undergoing bariatric surgery.

Information linking diet with the gut microbiome in bariatric surgery is limited. This pilot study e...

FedMediFormer-XAI: Federated Multimodal Transformers with Diffusion Augmentation and Graph-Based Drug Recommendation for Diabetes.

Diabetes management faces a number of obstacles, such as fragmented healthcare data, privacy concern...

Rationale and design of a nationwide prospective cohort study in type 2 diabetic kidney disease: the Korean Diabetic Kidney Disease (K-DKD) Cohort.

BACKGROUND: Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD) wo...

Complexity analysis of physiological signals in the wearable era: New insights into chronic diseases and aging.

The human body is a complex and irregular system that generates diverse physiological signals. In th...

[Expert consensus on evaluating large language models for aided diabetes diagnosis and treatment (2026 edition)].

Large language models are being introduced into diabetes care at an accelerating pace, but their kno...

Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.

BACKGROUND: Patients with diabetes mellitus complicated by acute respiratory distress syndrome (ARDS...

Integrated bioinformatics and experimental validation reveal Luteolin targets the PI3K/AKT/NRF2 Axis in diabetic wound healing.

BACKGROUND: Diabetic wound healing represents a critical global health challenge, with India harbour...

Diabetes and Driving: How Predictive Technologies Will Alter Ethical and Legal Responsibilities.

In 2023, a 67-year-old man with long-standing type 1 diabetes experienced a severe hypoglycemic epis...

A Scoping Review of Digital Behavioral Approaches to Improve Medication Adherence in Type 2 Diabetes.

PURPOSE OF REVIEW: Consistent medication adherence is fundamental for achieving favorable health out...

Metabolic convergence of diabetes and prostate cancer: from dysglycemia to tumor microenvironment reprogramming.

The relationship between diabetes mellitus and prostate cancer (PC) represents one of the most intri...

Accurate Solution-Phase Thermodynamics via Composite Quantum Chemistry and Machine Learning: Application to Biomass Decomposition.

Thermodynamic quantities in the hydrated state provide essential reference information for understan...

Toward Robust AI-Assisted Dietary Assessment for Diabetes Self-Management: Quantifying and Decomposing Large Language Model Prediction Variability From Meal Images.

Nutrient estimation from meal images by multimodal large language models can support diabetes self-m...

Diabetic retinopathy screening using artificial intelligence: a comprehensive performance comparison on datasets from diverse populations and imaging modalities.

Objective Diabetic retinopathy (DR) is the leading cause of preventable blindness in adults and ...

From metabolites to membrane vesicles: Unifying gut microbial signals in obesity, t2dm, and MASLD.

Obesity, Type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated steatotic liver diseas...

Artificial Intelligence for Diabetic Retinopathy.

Development and validation of a machine learning-based diagnostic prediction model for frailty in older adults with diabetes.

BACKGROUND: Frailty is a significant risk factor for death and disability in older adults with diabe...

Explainability in Forecasting Hospital Readmissions with Machine Learning.

Predictive modeling of healthcare needs to strike a balance between performance and interpretability...