Systems and methods for smart testing of genetic materials

Abstract

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.

What is claimed is: 
     
         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.