Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
Gut microbiota and antidiabetic drugs: perspectives of personalized treatment in type 2 diabetes mellitus
W Liu, Z Luo, J Zhou, B Sun - Frontiers in Cellular and Infection …, 2022 - frontiersin.org
Alterations in the composition and function of the gut microbiota have been reported in
patients with type 2 diabetes mellitus (T2DM). Emerging studies show that prescribed …
patients with type 2 diabetes mellitus (T2DM). Emerging studies show that prescribed …
Precision medicine for cardiometabolic disease: a framework for clinical translation
Cardiometabolic disease is a major threat to global health. Precision medicine has great
potential to help to reduce the burden of this common and complex disease cluster, and to …
potential to help to reduce the burden of this common and complex disease cluster, and to …
The gut microbiome of adults with type 1 diabetes and its association with the host glycemic control
OBJECTIVE Previous studies have demonstrated an association between gut microbiota
composition and type 1 diabetes (T1D) pathogenesis. However, little is known about the …
composition and type 1 diabetes (T1D) pathogenesis. However, little is known about the …
Emerging trends and focus on the link between gut microbiota and type 1 diabetes: a bibliometric and visualization analysis
K Guo, J Li, X Li, J Huang, Z Zhou - Frontiers in Microbiology, 2023 - frontiersin.org
Objective To conduct the first thorough bibliometric analysis to evaluate and quantify global
research regarding to the gut microbiota and type 1 diabetes (T1D). Methods A literature …
research regarding to the gut microbiota and type 1 diabetes (T1D). Methods A literature …
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
Background Nutrition research is relying more on artificial intelligence and machine learning
models to understand, diagnose, predict, and explain data. While artificial intelligence and …
models to understand, diagnose, predict, and explain data. While artificial intelligence and …
[HTML][HTML] Associations of dietary intake with the intestinal microbiota and short-chain fatty acids among young adults with type 1 diabetes and overweight or obesity
Background Diet, a key component of type 1 diabetes (T1D) management, modulates the
intestinal microbiota and its metabolically active byproducts—including SCFA—through …
intestinal microbiota and its metabolically active byproducts—including SCFA—through …
Gene-based microbiome representation enhances host phenotype classification
T Deschênes, FWE Tohoundjona, PL Plante… - Msystems, 2023 - Am Soc Microbiol
With the concomitant advances in both the microbiome and machine learning fields, the gut
microbiome has become of great interest for the potential discovery of biomarkers to be used …
microbiome has become of great interest for the potential discovery of biomarkers to be used …
Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective
ABSTRACT Introduction Autoimmune disorders affect 4.5% to 9.4% of children, significantly
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
Dietary treatment of type 1 diabetes: Beyond carbohydrate counting to fight cardiovascular risk
L Bozzetto, A Corrado, G Scidà - Nutrition, Metabolism and Cardiovascular …, 2023 - Elsevier
Abstract Aims. Type 1 diabetes (T1D) is tied to an increased risk of cardiovascular morbidity
and mortality. Dietary treatment would be an elective therapeutic strategy to fight this risk …
and mortality. Dietary treatment would be an elective therapeutic strategy to fight this risk …