Genetic Research and Economic Analysis of Gene Variation Based on Medical Robot Promoting the Occurrence and Development of Esophageal Cancer

Abstract

We try to use the Internet of Things project to detect the occurrence and development of esophageal cancer in combination with the marked population after gene mutation, and propose necessary solutions. At the same time, we propose necessary intelligent system strategies for computer vision recognition technology of esophageal cancer susceptibility genes, and propose a robot design idea with convolutional neural network model as the core, In this idea, the chromosome changes are identified after dyeing. The model of this assembly line is controlled by an automatic mechanism. The research team reported on the model design.