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AI Biotech/Diagnostics: Cardio
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Application US20190252058
Published 2019-08-15
Generating Personalized Nutritional Recommendations Using Predicted Values Of Biomarkers
Techniques are disclosed herein for generating personalized nutritional recommendations using predicted values of target biomarkers. Using the technologies described herein, a programmatic analysis is performed on different data to predict values of target biomarkers that are associated with an individual. Personalized nutritional recommendations are then generated, using the predicted values, and provided to the individual. The predictions are based on data that is associated with the individual, such as microbiome data, ketone data, glucose data, nutritional data, questionnaire data, and the like. A prediction service can utilize a machine learning mechanism to generate the predicted value of the target biomarkers. A nutrition service utilizes the predicted value of the target biomarkers when generating the personalized nutritional recommendations.
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- 1. A non-transitory computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by a computer, cause the computer to:
generate prediction data indicating a first value of a first target biomarker and a second value of a second target biomarker predicted after eating one or more foods, wherein the prediction data is based at least in part on health data associated with an individual, wherein the first biomarker is a first indicator associated with at least one of a particular disease state or some other physiological state of an organism, and wherein the second biomarker is a second indicator associated with at least one of a different particular disease state or some other different physiological state of an organism; generate, based at least in part on the first prediction data and the second prediction data, personalized nutritional recommendation data that indicates one or more meals for the individual to eat; and provide at least a portion of the personalized nutritional recommendation data to a computing device associated with the individual.
- 9. A system, comprising:
one or more processors, configured to
generate prediction data indicating a first value of a first target biomarker and a second value of a second target biomarker predicted after eating one or more foods, wherein the prediction data is based at least in part on health data associated with an individual;
generate, based at least in part on the first prediction data and the second prediction data, personalized nutritional recommendation data that indicates one or more meals for the individual to eat; and
provide at least a portion of the personalized nutritional recommendation data to a computing device associated with the individual.
- 17. A method, comprising:
generating prediction data indicating a first value of a first target biomarker and a second value of a second target biomarker predicted after eating one or more foods, wherein the prediction data is based at least in part on health data associated with an individual; generating, based at least in part on the first prediction data and the second prediction data, personalized nutritional recommendation data that indicates one or more meals for the individual to eat; and providing at least a portion of the personalized nutritional recommendation data to a computing device associated with the individual.
