ReviewFrontiers in endocrinology2025
Harnessing gut-derived bioactives and AI diagnostics for the next generation of type 2 diabetes solutions.
Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The Programmable Microbiome: Integrative AI and Multi-Omics Frameworks for Precision T2DM Management.Biology · 2026Review
- Editorial: Future horizons in diabetes: integrating gut microbiota, AI, and personalized care.Frontiers in endocrinology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The prevalence of type 2 diabetes (T2D) has significantly increased over the past 20 years, currently affecting over 500 million people worldwide. Projections suggest that this number could rise to over 700 million in the next two decades. Despite advancements in medication and global health strategies that promote healthy lifestyles, T2D remains a complex disease that impacts the quality of life. Traditional treatment methods are becoming less effective, highlighting the need for innovative approaches to prevention, diagnosis, and treatment. Methods: Two promising areas of research that could transform the management of T2D are the use of biologically active substances derived from the intestines and the integration of artificial intelligence (AI) in clinical diagnostics. The human intestinal microbiota plays a crucial role in metabolic processes, including glucose regulation and insulin sensitivity. Microbial metabolites, including bile acids and short-chain fatty acids, have potential as therapeutic agents for metabolic disorders. As digital medicine advances, AI is increasingly utilized for real-time monitoring and personalized risk assessments. The medical field is evolving from merely using biosensors for glucose tracking to employing machine learning to analyze various biological indicators and electronic medical records. Results: Recent research at the intersection of microbiome studies and AI may improve diagnostic accuracy and support tailored treatment strategies. This study aims to analyze global experiences with the implementation of bioactive substances from the intestines and the diagnostic potential of AI in developing a new approach to enhancing the quality of life and treating T2D. Discussion: We examine the diverse functions of microbial metabolites and the current landscape of their therapeutic applications. Additionally, the review examines the current state of AI in diagnostics, with a particular focus on microbiome parameters. As a result, we propose a novel model that combines these two fields into an adaptive and personalized approach to treating patients with T2D and improving their quality of life.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.