SYSTEMS AND METHODS FOR SMART TESTING OF GENETIC MATERIALS

1 . A system for second lab testing of genetic materials, the system comprising a computing device configured to:

receive a specimen from a human subject;

receive at least a symptom associated with the human subject;

perform a smart test on the specimen, the smart test comprising:

a first lab test, wherein the first lab test is configured to identify a first disease agent;

a second lab test, wherein the second lab test is configured to identify at least a recommendation as a function of at least a symptom associated with the human subject; and

generate a smart test result as a function of the smart test.

2 . The system of claim 1 , wherein the computing device is further configured to extract a sequence of genetic material from the specimen as a function of an automatic robot.

3 . The system of claim 1 , wherein the specimen comprises:

genetic material collected from the human subject using a collection device and stored in a collection carrier; and

a unique identifier on the collection carrier.

4 . The system of claim 1 , wherein the specimen is configured to be stored in a transfer medium, wherein the transfer medium is configured to preserve the specimen for the plurality of lab tests.

5 . The system of claim 1 , wherein the computing device is further configured to generate a human subject contact profile.

6 . The system of claim 5 , wherein the human subject contact profile comprises contact tracing information.

7 . The system of claim 5 , wherein the computing device is further configured to generate the human subject contact profile as a function of a contact tracing machine learning model, wherein generating the contact machine learning model comprises:

training the contact machine-learning model as a function of a training set, wherein the training set comprises historical intake data correlated with historical subject contact profiles; and

generating, as a function of the contact machine-learning model, the human subject contact profile using intake data.

8 . The system of claim 1 , wherein the human subject descriptive data comprises the specimen and at least a symptom associated with the human subject.

9 . The system of claim 1 , wherein the smart test is generated as a function of a smart test machine-learning model, the smart test machine-learning model configured to:

receive a plurality of lab test results from the smart test as an input;

train the smart test machine-learning model as a function of a smart test training set, wherein the smart test training set comprises a disease agent data correlated to an infectivity datum; and

output the smart test result.

10 . The system of claim 1 , wherein an infectivity datum comprises measured coronavirus data.

11 . A method for second lab testing of extracted samples, the method comprising:

receiving, by a computing device, a specimen from a human subject;

receiving, by the computing device, at least a symptom associated with the human subject;

performing, by the computing device, a smart test on the specimen, the smart test comprising:

a first lab test, wherein the first lab test is configured to identify a first disease agent;

a second lab test, wherein the second lab test is configured to identify at least a recommendation as a function of at least a symptom associated with the human subject; and

generating a smart test result as a function of the smart test.

12 . The method of claim 11 , wherein the method further comprises extracting, by an automatic robot, a sequence of genetic material from the specimen.

13 . The method of claim 11 , wherein the specimen comprises:

genetic material collected from the human subject using a collection device and stored in a collection carrier; and

a unique identifier on the collection carrier.

14 . The method of claim 11 , wherein the specimen is configured to be stored in a transfer medium, wherein the transfer medium is configured to preserve the specimen for the plurality of lab tests.

15 . The method of claim 11 , wherein the computing device is further configured to determine a human subject contact profile.

16 . The method of claim 15 , wherein the human subject contact profile comprises contact tracing information.

17 . The method of claim 15 , wherein the computing device is further configured to generate the human subject contact profile as a function of a contact tracing machine learning model, wherein generating the contact machine learning model comprises:

training the contact machine-learning model as a function of a training set, wherein the training set comprises historical intake data correlated with historical subject contact profiles; and

generating, as a function of the contact machine-learning model, the human subject contact profile using intake data.

18 . The method of claim 11 , wherein the human subject descriptive data comprises the specimen and at least a symptom associated with the human subject.

19 . The method of claim 11 , wherein generating the smart test result comprises:

generating a smart test machine-learning model as a function of a plurality of lab test results of the smart test as an input;

training the smart test machine-learning model as a function of a smart test training set, wherein the smart test training set comprises a disease agent data correlated to an infectivity datum; and

outputting the smart test result as a function of the smart test machine-learning model.

20 . The method of claim 11 , wherein the infectivity datum comprises measured coronavirus data.