Abstract
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. Therefore, humans have been working hard to combat gastric cancer. At present, the most commonly used treatment method is radiotherapy. However, this method will damage the normal tissues of the irradiated area while treating malignant tumor cells. It not only has side effects of damage to the patient's skin and mucous membranes but also needs high-rate radiotherapy and has high cost for chemotherapy. In order to solve these problems, it is necessary to find new treatment methods. This article proposes the use of Chinese medicine to invigorate the spleen to inhibit human gastric cancer cells. This article combines modern machine learning technology with traditional Chinese medicine and combines traditional Chinese medicine physiotherapy with Western medicine nude mouse transplantation experiments. The treatment of tumors in Chinese medicine is based on the theory of Chinese medicine and has different characteristics. Western medicine has the advantage of permanently injuring patients. The process of the experiment is to transplant human-derived gastric cancer cells into nude mice. After grouping treatments and obtaining comparative data, deep learning techniques are used to analyze the properties of Chinese medicines for strengthening the spleen and to compare the properties of Chinese medicines for strengthening the spleen. The experimental results showed that the tumor inhibition rate of mice using fluorouracil was 18%, the tumor inhibition rate of mice using low-dose Chinese medicine was 16%, and the tumor inhibition rate of mice using high-dose Chinese medicine reached 52%. 80 days after the experiment, the survival rate of mice using high-dose Chinese medicine is 100% higher than that of mice without treatment.
Highlights
Human gastric cancer cells were transplanted into nude mice and treated in groups and compared with
This study is aimed at demonstrating the effect of spleen-invigorating Chinese medicine on tumor drugresistant cells and the effect of reversing tumor drug resistance and preliminarily exploring the mechanism of reversing drug resistance, which is of great significance for the clinical search for highly effective and low-side effect drugs
Reading medical data at high speed, saving doctors' time by 40% Professional accuracy is over 95%, and the misdiagnosis rate is reduced Fully based on artficial intelligence, judgment accuracy is greater than 90% Seamless connection with international clinical imaging
Summary
There are 1.92 million new cancer cases worldwide and 9.96 million deaths from cancer. The academic circles have not yet reached a unified conclusion on the exact cause of gastric cancer, but with further research on the etiology of tumors, a variety of factors such as mutational, genetic, physical, and chemical carcinogenesis has been formed. Radiotherapy and chemotherapy are the traditional ways to treat gastric cancer. The development of new and more effective treatments has always been an important direction in the field of basic research. There have been more and more researches on Chinese medicine in China. In this experiment, human gastric cancer cells were transplanted into nude mice and treated in groups and compared with
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Computational and mathematical methods in medicine
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
