Results 161 to 170 of about 615,781 (294)

Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach [PDF]

open access: yesarXiv
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  

Validity and Responsiveness of Balance Measurements Using Posturography in Patients With Immune‐Mediated Neuropathies

open access: yesJournal of the Peripheral Nervous System, Volume 30, Issue 2, June 2025.
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]

open access: bronze, 2005
Jan-Willem G. Meijer   +5 more
openalex   +1 more source

Application and prospect of hydrogels in diabetic wound treatment [PDF]

open access: yesarXiv
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  

Long‐term efficacy of 10 kHz spinal cord stimulation in managing painful diabetic neuropathy: A post‐study survey

open access: yesPain Practice, Volume 25, Issue 5, June 2025.
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

Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review [PDF]

open access: yesarXiv
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  

Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management [PDF]

open access: yesarXiv
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  

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