Blood and Saliva Biomarker Optimized Food Consumption and Delivery with Artificial Intelligence

A computing system, comprising:

• one or more processors;
• and
• at least one memory comprising program instructions executable by the one or more processors to:
• determine a plurality of combinations based on a plurality of ingredients;
• train a neural network to determine a plurality of optimized weight values for a respective combination of the plurality of combinations for a user based on a plurality of expected blood chemistry values corresponding to the user and a plurality of standard deviation values corresponding to the user, wherein the optimized weight values correspond to neural network probability weightings with iterative feedback from one or more biological samples data from the user;
• determine a plurality of optimized combinations based on the plurality of optimized weight values, wherein the plurality of optimized combinations is a subset of the plurality of combinations;
• and
• provide data corresponding to at least one or more combinations of the plurality of optimized combinations.

A method, comprising:

• determining, by one or more computer processing units, a plurality of combinations based on a plurality of ingredients;
• generating a neural network to determine a plurality of optimized weight values for a respective combination of the plurality of combinations for a user based on a plurality of expected blood chemistry values corresponding to the user and a plurality of standard deviation values corresponding to the user, wherein the optimized weight values correspond to neural network probability weightings with iterative feedback from one or more biological samples data from the user;
• determining, by the one or more computer processing units, a plurality of optimized combinations based on the plurality of optimized weight values, wherein the plurality of optimized combinations is a subset of the plurality of combinations;
• and providing data corresponding to at least one or more combinations of the plurality of optimized combinations.