Diabetes

Bioinspired Multifunctional Hydrogels for Deep Learning-Enabled Wound pH Visual Monitoring and Treatment.

Smart wound dressings capable of real-time environmental monitoring and therapeutic intervention are...

Prognostic value of the triglyceride-glucose index combined with atherogenic index of plasma for all-cause mortality in critically ill patients with chronic heart failure: a machine learning-driven retrospective cohort study.

BACKGROUND: The triglyceride-glucose index (TyG) and atherogenic index of plasma (AIP) are emerging ...

Construction of an interpretable machine learning model for predicting gestational diabetes mellitus based on 45 dietary nutrients.

Diagnostic Accuracy of Artificial Intelligence-Enabled Retinal Biomarkers for Detecting Type 2 Diabetes and Prediabetes Among Asian Indians [DART Study].

PURPOSE: To identify retinal microvascular features that distinguish normoglycemia from diabetes mel...

HelixSide: A Comprehensive Method for Local and Global Orientational Analysis of Proteins.

Understanding the relative orientation of protein secondary structure elements is crucial for elucid...

Machine learning-based LASSO-Cox model for dementia prediction: the role of midlife cardiometabolic, inflammatory, and genetic risk factors in a US cohort.

PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (...

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion.

BACKGROUND: Benign adrenal tumours, found in 1-7% of adults, can be non-functioning (NFAT) or show m...

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants.

IMPORTANCE: Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of m...

MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy.

Type 2 diabetic nephropathy (T2DN) is a major complication of type 2 diabetes and a leading cause of...

Sleep deprivation and epiretinal membrane risk: Machine learning findings from a nation-wide survey.

PURPOSE: This cross-sectional study explored the association between sleep deprivation and epiretina...

How do chronic diseases affect personal and household income? A double debiased machine learning analysis of the China health and retirement longitudinal study (CHARLS) in older adults.

OBJECTIVES: This study aimed to investigate the impacts of chronic diseases such as hypertension, dy...

The discordance of remnant cholesterol and low-density lipoprotein cholesterol as a predictor of diabetes, diabetic microvascular diseases, and cardiovascular disease.

BACKGROUND: The impact of discordance between remnant cholesterol (RC) and low-density lipoprotein c...

Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian population.

Diabetic retinopathy (DR) is a common complication of diabetes that can lead to vision loss. Early d...

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to bl...

Deep learning architectures for modeling and forecasting stroke cases in Ghana.

INTRODUCTION: Stroke remains a leading cause of global morbidity and mortality, ranking second in de...

Cooking and eating quality of ethnic Bora rice (Oryza sativa L.): machine learning-based prediction of resistant starch content in ready-to-eat products.

BACKGROUND: Assamese glutinous Bora rice (Oryza sativa L.) is widely used for various ethnic food pr...

Insights and Advances in Physical Activity Research on Youth with Type 1 Diabetes.

PURPOSE OF REVIEW: Most youth with type 1 diabetes (T1D) do not meet the guidelines for physical act...

The Role of Chemical Engineers in the Pharmaceutical Industry.

Chemical engineers have played a vital role in the pharmaceutical industry for more than a century, ...

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Neonatal prematurity leads to considerable morbidity and mortality, partly because of acquired condi...

Annotation-free 3D reconstruction and quantification of retinal microvasculature by RADAR.

Three-dimensional mapping of retinal microvasculature is essential for monitoring systemic vascular ...

Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening.

Diabetic Retinopathy (DR) is a critical source of blindness that can be prevented globally, and accu...