Latest AI and machine learning research in diabetes for healthcare professionals.
Subtyping of ketoacidosis, a metabolic state characterized by blood acidification due to various cau...
More than one third of adults with diabetes can experience diabetes distress due to the demands of d...
Polygenic risk scores and other genomic analyses require large individual-level genotype datasets, y...
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of preventable blindne...
As of early 2026, over 115 million US adults (more than 1 in 3) have prediabetes, a condition with a...
In this work, we investigate uncertainty-aware neural network models for blood glucose prediction an...
Diabetic Retinopathy (DR) requires timely screening to prevent irreversible vision loss. However, it...
Early screening for glaucoma and diabetic retinopathy (DR) is critical to prevent irreversible visio...
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine...
Imageomics uses machine learning to accelerate our understanding of biological traits and human dise...
It has been suggested that generative image models such as diffusion models can improve performance ...
Diabetic Retinopathy (DR) progresses as a continuous and irreversible deterioration of the retina, f...
Diabetic Retinopathy (DR) is a major cause of vision impairment worldwide. However, manual diagnosis...
Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, making early and ac...
In safety-critical classification, the cost of failure is often asymmetric, yet Bayesian deep learni...
In this paper, we propose a novel selection strategy for contrastive learning for medical images. On...
How habitual diet influences the gut microbiome and plasma metabolome across insulin resistance stat...
Background: Large language models (LLMs) show promise for clinical decision support, yet most valida...
Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMS...
Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic de...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...