| AI-Driven Approaches to Stem Cell Therapy in Cancer: Innovations and Challenges |
| Paper ID : 1191-IGA |
| Authors |
|
Sahar Saki *1, Parand TorabiParizi2 1Department of Biology, Faculty of converging Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran 2Department of Biology, Faculty of Basic Sciences, Damghan Branch, Islamic Azad University, Damghan, Iran |
| Abstract |
| Background and Aim: Cancer is a complex disease associated with genetic changes in cancer cells. Stem cells are being explored as a promising treatment option for cancer due to their ability to repair tissues and enhance the body's immune response. Recent advancements in artificial intelligence (AI) hold the potential to improve these treatments, particularly in the selection and monitoring of stem cell therapies. The objective of this article is to examine the role of artificial intelligence in enhancing cancer stem cell therapies. Materials and Methods: Scientific articles on artificial intelligence and stem cell therapy in cancer were searched in reputable databases such as PubMed, Google Scholar, Web of Science and Scopus. The selected articles were reviewed from various perspectives, including challenges, innovations, and advances in the use of artificial intelligence in stem cell therapies. Results: Studies have shown that artificial intelligence, particularly machine learning and deep learning, has been helpful in identifying and characterizing cancer stem cells, and in predicting their behavior. These methods have been effective in optimizing stem cell selection and predicting treatment outcomes, thus helping to better target interventions. Conclusion: Artificial intelligence holds great promise in revolutionizing stem cell therapies for cancer by enhancing the precision of treatments and improving patient outcomes. Machine learning and deep learning techniques have shown considerable success in identifying cancer stem cells, predicting their behavior, and optimizing stem cell selection for more targeted therapies. |
| Keywords |
| Artificial Intelligence, Stem Cell Therapy, Cancer Treatment |
| Status: Accepted |
