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
Leukaemia and Diabetes Insipidus [PDF]
Mathew Joseph, Solomon E. Levin
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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
Hypokalemia Induced Partial Nephrogenic Diabetes Insipidus: A Case Report
Diabetes insipidus is a condition characterised by a large volume of diluted urine production and increased thirst. In this case report, a 49-year-old gentleman presented with 3 months of polyuria and polydipsia. He had a repeated history of hypokalemia.
Anil Nepali+4 more
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Ueber die heilende Wirkung des Strychnins bei Polyurie und beim Diabetes insipidus [PDF]
Leopold Feilchenfeld
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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
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
Cutaneous Xanthomata Associated with Intermittent Diabetes Insipidus. (High Blood-Fat and Normal Blood-Cholesterol) [PDF]
B. C. Tate
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Background Sheehan’s syndrome is a rare condition, which is classically characterized by anterior pituitary hypofunction following postpartum shock or hemorrhage.
Chin-Fang Chen+3 more
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