Systems and methods for smart testing of genetic materials
View Patent ↗A system for second lab testing of genetic materials is presented. The system includes a computing device configured to receive a specimen from a human subject and perform a smart test on the specimen. The smart test includes a first lab test configured to generate a first lab test identifying a first disease agent and a second lab test configured to generate a second lab test identifying a second disease agent, wherein identifying the second disease agent includes generating a second lab machine-learning model, training the second lab machine-learning model as a function of a second lab test training set, and outputting, as a function of the second lab machine-learning model, the second lab test result using specimen data as an input. The computing device is further configured to generate a smart test result as a function of the smart test.
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;
extract a sequence of genetic material from the specimen as a function of an automatic robot;
perform a smart test on the sequence of genetic material from the specimen, the smart test comprising:
a first lab test, wherein the first lab test is configured to generate a first lab test result identifying a first disease agent;
a second lab test, wherein the second lab test is configured to identify a second disease agent, wherein identifying the second disease agent comprises:
training a second lab machine-learning model as a function of a second lab test training set, wherein the second lab test training set comprises a human subject descriptive data with a second disease agent; and
outputting, as a function of the second lab machine-learning model, a second lab test result identifying the second disease agent using specimen data as an input; and
generate a smart test result as a function of the smart test.
2. 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.
3. 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.
4. The system of claim 1 , wherein the second lab test is performed as a function of a time delay.
5. The system of claim 1 , wherein the second lab test is performed independently from the first lab test.
6. The system of claim 1 , wherein the computing device is further configured to validate the first lab test result as a function of the second lab test result.
7. The system of claim 1 , wherein the smart test further comprises a third lab test.
8. The system of claim 1 , wherein the smart test result 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.
9. The system of claim 1 , wherein the infectivity datum comprises a measured coronavirus data.
10. A method for second lab testing of extracted samples, the method comprising:
receiving, by a computing device, a specimen from a human subject;
extracting a sequence of genetic material from the specimen as a function of an automatic robot;
performing a smart test on the sequence of genetic material from the specimen, the smart test comprising:
a first lab test, wherein the first lab test is configured to generate a first lab test identifying a first disease agent;
a second lab test, wherein the second lab test is configured to generate a second lab test identify a second disease agent, wherein identifying the second disease agent comprises:
training a second lab machine-learning model as a function of a second lab test training set, wherein the second lab test training set comprises a human subject descriptive data with a second disease agent; and
outputting, as a function of the second lab machine-learning model, the second lab test result using specimen data as an input; and
generating a smart test result as a function of the smart test.
11. The method of claim 10 , 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.
12. The method of claim 10 , 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.
13. The method of claim 10 , wherein the second lab test is performed as a function of a time delay.
14. The method of claim 10 , wherein the second lab test is performed independently from the first lab test.
15. The method of claim 10 , wherein the method further comprises validating the first lab test result as a function of the second lab test result.
16. The method of claim 10 , wherein performing the smart test further comprises performing a third lab test.
17. The method of claim 10 , 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.
18. The method of claim 10 , wherein the infectivity datum comprises a measured coronavirus data.