Intelligent system and method for tumor mutation burden detection based on 5G and blockchain

Abstract

The invention belongs to the technical field of intelligent tumor and gene detection, especially an intelligent system and method for detecting tumor mutation load based on 5G and blockchain. Rotating shaft, the top of the first rotating shaft extends to the top of the workbench and is fixedly connected with the first loading tray. The structure of the present invention is simple, and multiple gene detection reagents can be clamped on the first loading tray at the same time, and passed through the first loading tray. The intermittent rotation of the first loading tray and the second loading tray moves the genetic detection reagents to the bottom of the detection probes to detect the genetic detection reagents. The detection process does not require manual operation, and a large number of genetic detection reagents can be detected to obtain accurate results. In addition, after the test is completed, the genetic testing reagents that meet the standards can be transported to the low-temperature storage box for storage in a timely manner. Using 5G and blockchain technology, the information on the control panel is sent to the doctor's work desk for recording and observation.

Description

technical field [0001] The present invention relates to the field of tumor and gene detection intelligence technology, in particular to an intelligent system and method for tumor mutation load detection based on 5G and blockchain. Background technique [0002] Tumors are diseases caused by mutations in the genome. Immune checkpoint inhibitors have opened up a new era of tumor therapy, but due to the lack of suitable clinical molecular markers, PD-1 / PD-L1 (programmed cell death receptor-1, programmed death-1, PD-1; programmed death-1; The beneficiary population of cell death ligand-1 (programmed cell death ligand 1, PD-L1) drug cannot be efficiently screened, and the screening rate is only 20%-30%. Tumor mutation burden (TMB) is an index that reflects the degree of total gene mutation in tumor cells, usually expressed by the total number of tumor somatic mutations contained in each million bases (Mb) of the tumor genome region. Different types of tumors and different groups...

AI Technical Summary

Problems solved by technology

However, this method still has several shortcomings

First of all, the difference in TMB between different cancer types is large, so the detection of a single sample is not enough to obtain accurate data, and a large number of tests are required; secondly, the existing detection process requires staff to perform manual detection, which not only reduces the detection Efficiency and increase the work intensity of the staff, in addition, after the test, the samples that meet the requirements cannot be stored in time

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