AI for rapid identification of major butyrate-producing bacteria in rhesus macaques (Macaca mulatta)
Our approach demonstrated the ability to predict a wide range of clinically relevant microbial genera and microbial groups in the gut microbiome based on digital images from a fecal smear. The models proved to be robust to the smearing method, random noise and the amount of fecal matter. This study introduces a rapid, non-invasive, and cost-effective method for microbiome profiling, with potential applications in veterinary diagnostics.
Authors
- Annemiek Maaskant (ORCID: https://orcid.org/0000-0002-5385-9906)
- Jaco Bakker (ORCID: https://orcid.org/0000-0001-6670-1887)
- R.C. Montijn
- Jan A. M. Langermans (ORCID: https://orcid.org/0000-0002-4806-4412)
- Donghyeok Lee
- Evgeni Levin (ORCID: https://orcid.org/0000-0002-0368-6146)
- Huy Ngo (ORCID: https://orcid.org/0000-0001-6206-1624)
Institutions
- Utrecht University (NL)
- Biomedical Primate Research Centre (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Animal Microbiome
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s42523-025-00410-2
- Citations
- 2
- Primary Topic
- Primate Behavior and Ecology
- Type
- article
- Field-Weighted Citation Impact
- 4.88