ReviewMicrobial biotechnology2024
AI in microbiome-related healthcare.
Review in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed.
- Immunotherapy 3.0: Breakthroughs Steering the Next Generation of Cancer Control.Cancer reports (Hoboken, N.J.) · 2026Review
- Review
- AI-Driven Microbial Diagnostics: Predicting Disease Signatures Through Microbial Pattern Recognition.Diagnostics (Basel, Switzerland) · 2026Article
- Current Concepts in Probiotic Safety and Efficacy.Nutrients · 2026Review
- Unlocking therapeutic impacts of the gut microbiota with computational tools.Current opinion in biotechnology · 2026Review
- The gut-brain axis in Alzheimer's disease: early detection, microbial metabolites, mechanisms, and therapeutic opportunities.Frontiers in molecular biosciences · 2026Review
- Multi-layer gut microbiome variation in type 2 diabetes despite preserved higher-order community structure.Frontiers in microbiology · 2026Article
- Artificial intelligence empowers gut microbiota research in neurodegenerative diseases molecular mechanisms and precision therapy.iScience · 2025Review
- Credible inferences in microbiome research: ensuring rigour, reproducibility and relevance in the era of AI.Nature reviews. Gastroenterology & hepatology · 2025Review
- Smart Microbiomes: How AI Is Revolutionizing Personalized Medicine.Bioengineering (Basel, Switzerland) · 2025Review
- Microbiota-centered interventions to boost immune checkpoint blockade therapies.The Journal of experimental medicine · 2025Review
- Review
- The Role of the Gut Microbiota in Health, Diet, and Disease with a Focus on Obesity.Foods (Basel, Switzerland) · 2025Review
- The gut-brain-circadian axis in anxiety and depression: a critical review.Frontiers in psychiatry · 2025Review
- AI in microbiome-related healthcare.Microbial biotechnology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Artificial intelligence (AI) has the potential to transform clinical practice and healthcare. Following impressive advancements in fields such as computer vision and medical imaging, AI is poised to drive changes in microbiome-based healthcare while facing challenges specific to the field. This review describes the state-of-the-art use of AI in microbiome-related healthcare. It points out limitations across topics such as data handling, AI modelling and safeguarding patient privacy. Furthermore, we indicate how these current shortcomings could be overcome in the future and discuss the influence and opportunities of increasingly complex data on microbiome-based healthcare.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.