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

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

Treatment of Complications of Orthopedic Surgery and Consideration of Basic Medical Research Based on Intelligent Science-Guangzhou Medical University and Chifeng College as Examples

With the rapid development of modern medical technology, the maturity of orthopaedic technologies, and the improvement of people's quality of life, more and more people choose surgical treatment. The improvement of the overall medical concept requires us to pay equal attention to the psychological education and care of patients while improving the level of diagnosis and treatment. Compared with other surgical operations, orthopedic surgery is characterized by large trauma, more bleeding, long operation time and slow postoperative functional recovery. The psychological burden of patients before and after surgery is heavy, which directly affects the success rate of surgery . Whether the operation can achieve the desired effect depends not only on the success of the operation itself, but also on whether the preparation and nursing before and after the operation are correct and perfect. The research team made specific analysis and report in combination with Guangzhou Medical University and Chifeng University and make a visual medical information management system for research

From the Perspective of Economic Research under the Disaster State Caused by Nuclear Radiation: Mathematical Computer Mathematical Modeling Based on Cognitive Neuroscience and Neural Network Model

The research team simulated the nuclear radiation disaster in Inner Mongolia, China, and modeled it through computational neuroscience and emotional cognition. The core of this model is psychological assessment and data planning based on cognitive neuroscience, and then proposed the overall neural network construction through mathematical modeling. The research team discussed and demonstrated the model design in detail, and proposed this concept for the first time in the world

From a Health Economics Perspective: Applied Researching Model and Design in Computational Neuroscience and Necessary Mathematical Modeling in Preventive Medical Creation

The simulation computer model of human medical neuroscience is widely used in artificial intelligence. The extensive use of medical robots in China has made the simulation model of neuroscience have a broader stage in economic development. Especially in preventive medicine, the research team has more uses for identifying the practice in various fields of medicine and setting procedures for surgical robots, we try to analyze the commonly used neural network models of preventive medical robots from the simulation of human neuroscience, and discuss them according to the principles of economics and finance

The Perspectives of E-Commerce System and Innovation Economic Product Development: Mathematical and Computer Modeling Strategies Based on Virtual Reality Technology and Medical Diagnostics

Developing the e-commerce system as a product of health economics is the research team's research task. We performed computer modeling strategy analysis using virtual reality technology principles and clinical diagnostics. We tried to put forward a computer model for solving the problem of remote medical care and carried out the necessary feasibility analysis. I put forward a strategy in light of the key knowledge of cross-specialties, and carried out reports and expositions to address the technical difficulties of the present

From the Perspective of Robotic Research and Development in Medicine: Analysis of Principles for the Application of Circulating Neural Networks and the Design of Economic Products in Biomedical Medicine

The circulatory neural network is an important component part of the artificial neural network and can be integrated into biomedical engineering for disease warning in current frontier research. In the current market economy, women's sexual pleasures can be designed using the circulatory neural network as a core biomedical engineering device. We performed technical analysis, expound the principles of neuroscience, and report and analyze them

Design of Computer-Assisted Models for Preventive Medicine Perspective

The simulation exercise of building accidents is conducive to improving the human survival rate after urban building accidents. This is the content of preventive medicine. The remote sensing technology of city map can monitor the building structure and ecological conditions of specific cities, which can be used to build a rapid response model for emergency medicine departments. Therefore, the economic construction can be enhanced to improve the survival rate of the people affected by the disaster, which is beneficial to urban construction. The research team analyzes and reports on the specific model development of computer technology, the computer intelligent simulation of the program setting for specific populations, and the rapid response of emergency medicine as the application object for the relevant workflow analysis, and enhance the perfection of preventive medicine system from the perspective of intelligent economic development

Computer and Mathematical Modeling: Translational Research and Economics in Clinical Diagnostics

The computer and modeling approach has begun to be used extensively in clinical intelligence diagnosis, we have refined the necessary techniques related to intelligence medicine, and we have performed economics-directional analysis of models and structures of artificial intelligence in the translational medicine sense.At the same time, the development of clinical diagnostic techniques is also the result of constant innovation, and we propose the necessary strategy for a cross-disciplinary approach to clinical diagnostics and computer and mathematical modeling, with the authors reporting in conjunction with the results of the study