Predicting Dietary Impact on Multiple Sclerosis-Related Symptoms With the Gut Microbiome: A Pilot Study Using Unsupervised Machine Learning.

Meza LA, Fitzjerrells RL, Shemirani F, Titcomb TJ, Rubenstein LM, Eyck PT, Snetselaar LG, Shahi SK, Wahls TL, Mangalam AK

Open source

DOI
10.1002/brb3.71394
Published
2026 Apr
Container
Brain and behavior
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1002/brb3.71394,
  title = {Predicting Dietary Impact on Multiple Sclerosis-Related Symptoms With the Gut Microbiome: A Pilot Study Using Unsupervised Machine Learning.},
  author = {Meza LA and Fitzjerrells RL and Shemirani F and Titcomb TJ and Rubenstein LM and Eyck PT and Snetselaar LG and Shahi SK and Wahls TL and Mangalam AK},
  year = {2026},
  journal = {Brain and behavior},
  doi = {10.1002/brb3.71394},
  url = {https://doi.org/10.1002/brb3.71394}
}

RIS

TY  - JOUR
TI  - Predicting Dietary Impact on Multiple Sclerosis-Related Symptoms With the Gut Microbiome: A Pilot Study Using Unsupervised Machine Learning.
AU  - Meza LA
AU  - Fitzjerrells RL
AU  - Shemirani F
AU  - Titcomb TJ
AU  - Rubenstein LM
AU  - Eyck PT
AU  - Snetselaar LG
AU  - Shahi SK
AU  - Wahls TL
AU  - Mangalam AK
PY  - 2026
JO  - Brain and behavior
DO  - 10.1002/brb3.71394
UR  - https://doi.org/10.1002/brb3.71394
ER  - 

APA

LA, M., RL, F., F, S., TJ, T., LM, R., PT, E., LG, S., SK, S., TL, W., & AK, M. (2026). Predicting Dietary Impact on Multiple Sclerosis-Related Symptoms With the Gut Microbiome: A Pilot Study Using Unsupervised Machine Learning.. Brain and behavior. https://doi.org/10.1002/brb3.71394

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