ArticleGut microbes
Harnessing machine learning for development of microbiome therapeutics.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.
- Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa.PLoS computational biology · 2022Pooled it
- A Machine Learning Platform for Imputing Missing Critical Quality Attributes in Pharmaceutical Development.The AAPS journal · 2026Article
- Transformer Models, Graph Networks, and Generative AI in Gut Microbiome Research: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Review
- Enhanced formulation of precision probiotics through active machine learning.Biology methods & protocols · 2026Article
- Targeted probiotic tabletting: A hybrid active learning and finite element modelling approach for process optimisation.International journal of pharmaceutics: X · 2025Article
- Probiotic Potential of Traditional and Emerging Microbial Strains in Functional Foods: From Characterization to Applications and Health Benefits.Microorganisms · 2025Review
- Review
- Optimizing breast cancer chemotherapy by harnessing gut microbiota with insights from artificial intelligence.NPJ biofilms and microbiomes · 2025Review
- Machine learning as an artificial intelligence application in management of chronic hepatitis B virus infection.World journal of gastroenterology · 2025Article
- Prebiotics Beyond the Gut: Omics Insights, Artificial Intelligence, and Clinical Trials in Organ-Specific Applications.Probiotics and antimicrobial proteins · 2025Review
- Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review.Pharmaceutics · 2025Review
- PhyloMix: enhancing microbiome-trait association prediction through phylogeny-mixing augmentation.Bioinformatics (Oxford, England) · 2025Article
- AI in microbiome-related healthcare.Microbial biotechnology · 2024Review
- The Future Exploring of Gut Microbiome-Immunity Interactions: From In Vivo/Vitro Models to In Silico Innovations.Microorganisms · 2024Review
- phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data.Bioinformatics (Oxford, England) · 2024Article
- Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning.Angewandte Chemie (International ed. in English) · 2024Article
- Orally Administered Drugs and Their Complicated Relationship with Our Gastrointestinal Tract.Microorganisms · 2024Review
- Bioinformatics Approaches in the Development of Antifungal Therapeutics and Vaccines.Current genomics · 2024Review
- Gut microbiome immaturity and childhood acute lymphoblastic leukaemia.Nature reviews. Cancer · 2023Review
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic relationship with human health. Studies elucidating the relationship between an unbalanced microbiome and disease are currently published daily. As such, microbiome big data have become a reality that provide a mine of information for the development of new therapeutics. Machine learning (ML), a branch of artificial intelligence, offers powerful techniques for big data analysis and prediction-making, that are out of reach of human intellect alone. This review will explore how ML can be applied for the development of microbiome-targeted therapeutics. A background on ML will be given, followed by a guide on where to find reliable microbiome big data. Existing applications and opportunities will be discussed, including the use of ML to discover, design, and characterize microbiome therapeutics. The use of ML to optimize advanced processes, such as 3D printing and
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.