Serine supplementation: Is it a new option for the treatment of diabetic polyneuropathy? [PDF]
Mizukami H.
europepmc +1 more source
Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach [PDF]
Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatment strategies, a pressing need in diabetes research. This study applies Bayesian network structure learning to analyze the Shanghai Type 1 and Type 2 diabetes mellitus datasets, revealing complex relationships among key diabetes-related biomarkers.
arxiv
ABSTRACT Background and Aims Validated objective measures for balance in immune mediated neuropathies are lacking. In this study, we investigated the clinimetric properties of posturography using a force platform, a quantitative assessment of postural control.
Milou R. Michael+5 more
wiley +1 more source
Back to Basics in Diagnosing Diabetic Polyneuropathy With the Tuning Fork! [PDF]
Jan-Willem G. Meijer+5 more
openalex +1 more source
Application and prospect of hydrogels in diabetic wound treatment [PDF]
Diabetic foot patients face persistent, challenging wounds, prompting a quest for innovative therapies. Hydrogel, a promising modality, is increasingly recognized for its potential in diabetic wound care. This review examines hydrogel's emergence as a therapeutic option, and its benefits, and outlines research directions.
arxiv
Abstract Objective To evaluate the longer‐term efficacy of 10 kHz spinal cord stimulation (SCS) in managing painful diabetic neuropathy (PDN) in a routine clinical setting after the transition from the 24‐month SENZA‐PDN study. Methods We contacted 142 participants who completed 24 months of postimplantation follow‐up in the former randomized ...
Erika A. Petersen+19 more
wiley +1 more source
Statin Neuropathy Masquerading as Diabetic Autoimmune Polyneuropathy [PDF]
T. Brooks Vaughan, David S.H. Bell
openalex +1 more source
Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review [PDF]
This systematic review explores the use of machine learning (ML) in predicting diabetes, focusing on datasets, algorithms, training methods, and evaluation metrics. It examines datasets like the Singapore National Diabetic Retinopathy Screening program, REPLACE-BG, National Health and Nutrition Examination Survey, and Pima Indians Diabetes Database ...
arxiv
Validation of a Novel Screening Device (NeuroQuick) for Quantitative Assessment of Small Nerve Fiber Dysfunction as an Early Feature of Diabetic Polyneuropathy [PDF]
Dan Ziegler+3 more
openalex +1 more source
Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management [PDF]
Diabetes is a chronic disease with a significant global health burden, requiring multi-stakeholder collaboration for optimal management. Large language models (LLMs) have shown promise in various healthcare scenarios, but their effectiveness across diverse diabetes tasks remains unproven.
arxiv