Systems and methods for generating an immune protocol for identifying and reversing immune disease

1. A system for generating an immune protocol for identifying and reversing immune disease, the system comprising:

a computing device, wherein the computing device is configured to:

receive at least an immune biomarker from a graphical user interface;

assign an immune category as a function of the immune biomarker;

identify an effect on an immune profile for each nutritional element of a plurality of nutritional elements, wherein the plurality of nutrition elements have been consumed by the user and the identification includes:

receiving a nutritional input from the graphical user interface;

retrieving a plurality of predicted effects of the plurality of nutrient amounts on the immune profile as a function of the nutritional input; and

calculating an effect of the nutritional input on the immune profile;

determine at least a nutritional element that contributes to the immune category as a function of an immune machine-learning model and the nutritional input;

identify a plurality of protocol elements, wherein each protocol element contains at least a nutrient amount intended to address the immunological dysfunction; and

generate an immune protocol as a function of the plurality of protocol elements.

2. The system of claim 1 , wherein the immune biomarker includes at least a test result relating to a current immunological state of the user.

3. The system of claim 1 , wherein the immune profile includes a determination of a current immunological state of the user.

4. The system of claim 1 , wherein the immune category includes tissue type classification.

5. The system of claim 1 , wherein assigning an immune category includes assigning the immune category as a function of an immune classification machine learning process.

6. The system of claim 1 , wherein the computing device is further configured to determine an elimination plan as a function of the at least a nutritional element.

7. The system of claim 6 , wherein determining the elimination plan includes determining if a change in the immune category arises from adding a nutrient to the nutritional input.

8. The system of claim 6 , wherein determining the elimination plan includes calculating an immune index.

9. The system of claim 6 , wherein the computing device is further configured to:

identify a frequency associated with the at least a nutrition element; and

create a reintroduction phase as a function of the elimination plan.

10. The system of claim 1 , wherein the immune protocol comprises the nutrient amounts and the plurality of protocol elements organized according to constraints in an elimination plan and a reintroduction phase.

11. A method for generating an immune protocol for identifying and reversing immune disease, the method comprising:

receiving, at a computing device, at least an immune biomarker from a graphical user interface;

assigning, at a computing device, an immune category as a function of the immune biomarker;

identifying, at a computing device, an effect on an immune profile for each nutritional element of a plurality of nutritional elements, wherein the plurality of nutrition elements have been consumed by the user and the identification includes:

receiving a nutritional input from the graphical user interface;

retrieving a plurality of predicted effects of the plurality of nutrient amounts on the immune profile as a function of the nutritional input; and

calculating an effect of the nutritional input on the immune profile;

determining, at a computing device, at least a nutritional element that contributes to the immune category as a function of an immune machine-learning model and the nutritional input;

identifying, at a computing device, a plurality of protocol elements, wherein each protocol element contains at least a nutrient amount intended to address the immunological dysfunction; and

generating, at a computing device, an immune protocol as a function of the plurality of protocol elements.

12. The method of claim 11 , wherein the immune biomarker includes at least a test result relating to a current immunological state of the user.

13. The method of claim 11 , wherein the immune profile includes a determination of a current immunological state of the user.

14. The method of claim 11 , wherein the immune category includes tissue type classification.

15. The method of claim 11 , wherein assigning an immune category includes assigning the immune category as a function of an immune classification machine learning process.

16. The method of claim 11 , wherein the computing device is further configured to determine an elimination plan as a function of the at least a nutritional element.

17. The method of claim 16 , wherein determining the elimination plan includes determining if a change in the immune category arises from adding a nutrient to the nutritional input.

18. The method of claim 16 , wherein determining the elimination plan includes calculating an immune index.

19. The method of claim 16 , wherein the computing device is further configured to:

identify a frequency associated with the at least a nutrition element; and

create a reintroduction phase as a function of the elimination plan.

20. The method of claim 11 , wherein the immune protocol comprises the nutrient amounts and the plurality of protocol elements organized according to constraints in an elimination plan and a reintroduction phase.