Research on the effectiveness of stem cells in the treatment of liver diseases using regenerative medicine and its control with AI

Main Article Content

Chien-Hua Liao Hou Ming Jiang Yuan Wen-Feng Huang

Abstract

Research on using regenerative medicine stem cells to treat liver disease and other anti-aging, anti-cancer and prolong life has always been a hot topic in social research on aging chronic diseases. Liver disease is indeed difficult to cure. Once discovered, there is no way to cure it in a short time. The treatment and anti-aging effect of stem cells for liver diseases depend on the detoxification ability of stem cells and their ability to scavenge free radicals. I attach great importance to laboratory preservation management and clinical application, and use AI to control the laboratory to quickly enter new medical fields. The effect of stem cell culture on the activation of dead cells is also used to deal with it. When stem cells are injected into tissue that is damaged or in need of repair, they can be reinfused intravenously to replace functional cells in the damaged tissue. In clinical applications, artificial intelligence AI is used to control various treatment results and achieve excellent control effects. This is the result of this stem cell research center. Stem cell therapy seeks new opportunities by borrowing allogeneic cell raw materials. It can also overcome the problem of autologous cell transplantation. Therefore, this study allows liver disease patients to save a life through stem cell therapy! It is indeed a major breakthrough in medicine that deserves to be cheered and continued to be studied in depth. importance.

Keywords: A Comparative Study, Liver disease, Anti-Aging Effects, Allogeneic, Autologous, Mesenchymal Stem Cell Therapy, Anti-tumor

Article Details

How to Cite
LIAO, Chien-Hua et al. Research on the effectiveness of stem cells in the treatment of liver diseases using regenerative medicine and its control with AI. Medical Research Archives, [S.l.], v. 12, n. 10, oct. 2024. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/5813>. Date accessed: 03 dec. 2024. doi: https://doi.org/10.18103/mra.v12i10.5813.
Section
Research Articles

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