Beyond HbA1c: Artificial Intelligence and Gut Microbiome Metabolites for Predicting Diabetic Complications

Ghanbari, Elaheh

Volume 18, Issue 3 (8-2026) IJDO 2026, 18(3): 154-155 | Back to browse issues page

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Ghanbari E. Beyond HbA1c: Artificial Intelligence and Gut Microbiome Metabolites for Predicting Diabetic Complications. IJDO 2026; 18 (3) :154-155
URL: http://ijdo.ssu.ac.ir/article-1-1056-en.html

Beyond HbA1c: Artificial Intelligence and Gut Microbiome Metabolites for Predicting Diabetic Complications

Elaheh Ghanbari ^*

Student Research Committee, Department of Food Hygiene and Quality Control, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Abstract: (29 Views)

Dear Editor,
I am writing to draw attention to the remarkable advances in integrating artificial intelligence (AI) and gut microbiome metabolomics for predicting diabetic complications. Despite achieving recommended HbA1c targets, many patients continue to develop diabetic microvascular complications (1).

Type of Study: Research | Subject: Special
Received: 2026/08/22 | Accepted: 2026/08/19 | Published: 2026/08/19

References

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