Diabetes

Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) prone to acute diabetic complications are at high risk for emergency department (ED) visits, which often precede hospitalization and mortality. Identifying these high-risk phenotypes before deterioration is critical for preventative care. We developed machine learning (ML) models using large-scale, real-world electronic medical records, inc...

SERSome-based metabolic profiling of aqueous humor for cataract subtyping with molecule-level interpretability.

Cataract is among the leading cause of vision impairment worldwide and it is essential to uncover molecule-level characteristics of different cataract subtypes for personalized treatment. Compared to existing diagnostic techniques, surface-enhanced Raman spectroscopy (SERS) shows advantages in sensitive molecular fingerprinting, tractability and compactness, making it highly suitable for clinical ...

Reporting follow-up budgets for diagnostic and predictive AI.

OBJECTIVE: To argue that diagnostic and predictive AI should be evaluated by both classification performance and the downstream work their outputs cre...

Engineering EVs Via ZnBGs-Integrated 3D Dynamic Culture for Type II Diabetic Pressure Ulcer Therapy.

Pressure ulcers (PUs) under type II diabetic conditions pose a significant clinical challenge due to damage to the vascular and neural networks, a sit...

AI-Based Models for Diabetic Foot Ulcer Assessment: Scoping Review.

BACKGROUND: Diabetic foot ulcers (DFU) are serious complications of diabetes that contribute substantially to morbidity, mortality, and health care bu...

Plasticizer-related toxicogenomic signatures in gestational diabetes: Mendelian randomization, placental single-cell transcriptomics and trophoblast validation.

Plasticizer exposure has been associated with gestational diabetes mellitus (GDM), but the placental toxicogenomic mechanisms that may connect environ...

Biological aging and the incidence and progression of diabetic retinopathy and kidney disease in type 2 diabetes mellitus: A prospective cohort study.

AIMS: We examined whether phenotypic age (PhenoAge) acceleration was associated with the incidence and progression of diabetic retinopathy (DR) and di...

Evaluating the role of youth-onset diabetes mellitus in the context of food insecurity and preventive care: a repeated cross-sectional study using propensity score weighted machine learning analysis.

BACKGROUND: Youth-onset diabetes mellitus (DM) is an increasing public health concern, especially among adolescents facing socioeconomic challenges. F...

Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study.

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care capacity and demand. However, fe...

Association of C-reactive protein to albumin ratio with progression of CKD and all-cause mortality in diabetic CKD.

INTRODUCTION: The C-reactive protein to albumin ratio (CAR), an integrative biomarker of inflammation and malnutrition, has shown prognostic value in ...

Heterogeneity, longitudinal decline, and metabolic risk in MRI-based quantification of 20 individual hip and thigh muscles.

Quantifying muscle health at scale has been limited by the difficulty of segmenting individual muscles on MRI. We developed an automated 3D deep-learn...

A comparative and interpretable machine learning framework for reliable diabetes risk prediction.

Diabetes mellitus is a common type of metabolic illness that is very common worldwide, and in most cases, it results in serious effects like heart dis...

Current Landscape and Future Perspectives of Diabetic Retinopathy Therapy: Pharmacological Targets, Precision Laser Technology, and Clinical Evidence.

Diabetic retinopathy (DR), a major cause of blindness worldwide, poses a substantial and escalating burden on public health. The limitations of curren...

Discovery of hub genes linking oxidative stress to type 2 diabetic sarcopenia using single-cell sequencing and machine learning.

Type 2 diabetes mellitus (T2DM) and sarcopenia demonstrate a significant comorbidity, particularly in the elderly, yet the molecular mechanisms linkin...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...

Artificial Intelligence-Assisted Screening for Patients With Diabetic Retinopathy and Age-Related Macular Degeneration in Family Medicine and Geriatric and Gerontology Care: Protocol for a Pragmatic Randomized Clinical Trial.

BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...

Identifying critical period of type 2 diabetes in Chinese population with leading molecules based on dynamic network biomarkers.

Diabetes has become a significant global public health challenge, and prediabetes (preD), as the earliest detectable stage of glucose metabolism disor...

The reliability-clarity paradox in vascular digital health: A nurse-led evaluation of ChatGPT-4's accuracy in diabetic foot ulcer management.

BACKGROUND: Diabetic foot ulcers remain a leading cause of non-traumatic amputations worldwide, necessitating precise patient education and clinical m...

Interpretable deep learning to predict one year glycemic control in type 1 diabetes using real world data.

Type 1 diabetes (T1D) involves long-term health risks and challenges in individualizing therapeutic strategies. Meeting glycemic targets is a reliable...

Association between glucose-to-platelet ratio and all-cause mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study.

BACKGROUND: Acute myocardial infarction (AMI) in critically ill patients is associated with high mortality. The glucose-to-platelet ratio (GPR), deriv...