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

2021-06-09

Abstract excerpt

<title>Abstract</title> <p>Background Current dietary recommendations are often generalized, conflicting, and highly subjective, depending on the source biases. This results in confusion, skepticism, and frustration in the general population. Methods We have developed an objective, integrated, automated, algorithmic approach to diet and supplement recommendations that is powered by artificial intelligence that...

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Literature Corpus work
eb5e5496-c64b-5302-9ce4-aed831253110
DOI
10.21203/rs.3.rs-504357/v1
Open publication

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Evidence-based precision nutrition improves clinical outcomes by analyzing human and microbial molecular data with artificial intelligenceDOI 10.21203/rs.3.rs-504357/v1
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