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Evidence-based precision nutrition improves clinical outcomes by analyzing human and microbial molecular data with artificial intelligence

Janelle Connell, Ryan Toma, Cleo Ho, Nan Shen, Pedro Moura, Ying Cai, Damon Tanton, Guruduth Banavar, Momchilo Vuyisich
doi: https://doi.org/10.1101/2021.04.24.441290

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doi 
https://doi.org/10.1101/2021.04.24.441290
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  • April 26, 2021.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Janelle Connell1,
  2. Ryan Toma1,
  3. Cleo Ho1,
  4. Nan Shen1,
  5. Pedro Moura1,
  6. Ying Cai1,
  7. Damon Tanton1,2,
  8. Guruduth Banavar1 and
  9. Momchilo Vuyisich1,*
  1. 1Viome Research Institute, Viome, Seattle, WA and New York, NY, USA
  2. 2Endocrinology, Diabetes And Metabolism, AdventHealth, Orlando, FL, USA
  1. ↵*Corresponding author: momo{at}viome.com
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Posted April 26, 2021.
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Evidence-based precision nutrition improves clinical outcomes by analyzing human and microbial molecular data with artificial intelligence
Janelle Connell, Ryan Toma, Cleo Ho, Nan Shen, Pedro Moura, Ying Cai, Damon Tanton, Guruduth Banavar, Momchilo Vuyisich
bioRxiv 2021.04.24.441290; doi: https://doi.org/10.1101/2021.04.24.441290
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