Tumor mutation load detection intelligent system based on 5G and block chains and method

Abstract

The invention belongs to the technical field of intelligent tumor and gene detection, and particularly relates to an intelligent tumor mutation load detection system based on 5G and block chains and a method. The intelligent tumor mutation load detection system comprises a workbench. The inner wall at the bottom of the workbench is rotationally connected with a first rotary shaft and a second rotary shaft. The top of the first rotary shaft extends to the top of the workbench and is connected with a first loading disc. The tumor mutation load detection intelligent system of the present invention is simple in structure. A plurality of gene detection reagents can be held on the first loading disc at the same time, and moved beneath a detection probe through intermittent rotation of the first loading disc and a second loading disc. The gene detection reagents are detected without manual operation during detection process. a large number of gene detection reagents can be detected to obtain accurate data, in addition, the gene detection reagents meeting the standard can be conveyed to a low-temperature storage box in time for storage after detection is finished. By 5G and block chain technology, the information on a control panel is transmitted to a doctor reception 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

Images