Patent AU-2021105553-A4 (AU)
Title: Method for identifying covid infection using gene expression level and machine learning model
Inventor: MISHRA AMIT
IPC: G16H50/80
Filed: 2021-08-16
Granted: 2021-11-25
Abstract: Method for identifying covid infection using gene expression level and 
machine learning model 
ABSTRACT 
The present invention is related to a method and system for remotely and automatically 
identifying the covid infection using gene expression level and machine learning model. In 
the present situation and outbreak of covid pandemic, where people are getting infected in 
mass level, there is a need of a system which can identify the covid infection efficiently 
while having sample in a speedy manner and automatically. The proposed invention 
provides a system which requires a smaller number of human resources and computing 
resources also to quickly and automatically determines the covid infection and the system is 
also fully equipped and learn itself with the time as more samples are analyzed by the 
system. The present invention comprises a central server which is based on machine 
learning model. The said central server is first trained using data related to gene expression 
level and test cases. The proposed invention also comprises a sample scanner which is used 
to scan the blood sample of the subject and the scanned data is sent to the central server.  
The said method is performed by a computing device having a processor, a memory, 
input/output device and communication unit. The sample scanner is attached to the said 
computing device. As and when the peripheral blood cell sample of the subject is collected 
and scanned using the sample scanner, the computing device is used to put additional 
information of the subject/patient via user interface to the computing device. The 
collected/scanned data of the blood sample along with other details of the subject/patient 
is transmitted to the central server via communication network. The said communication 
network may be wired or wireless communication network. The transmitted data is stored 
in the database at the central server. The scanned data is analyzed and the gene expression 
levels of the sample subject is determined by the central server. The central server machine 
then compares the determined gene expression level with the standard gene expression 
level via machine learning model. The said machine learning model then determines the 
result of comparison via the trained machine learning model and the difference of the gene 
expression level and the trained data helps the central server to reach the conclusion i.e., 
whether the sample subject is infected with the covid or not. The results are automatically 
fed to the database along with the patient details which can be automatically fetched by the 
system though user interface on any computing device. The results of the submitted sample 
subject are determined within a couple of minutes without much human intervention, 
remotely and automatically. The said machine learning model is fully equipped to learn itself 
based on the data that is analyzed by the system, initial database related to gene expression 
level and test cases. Thus, the said system greatly helps in this covid pandemic to quickly 
and remotely provide the results of covid infection automatically.  
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