| 书目名称 | Mathematical Models of Tumor-Immune System Dynamics |
| 编辑 | Amina Eladdadi,Peter Kim,Dann Mallet |
| 视频video | |
| 丛书名称 | Springer Proceedings in Mathematics & Statistics |
| 图书封面 |  |
| 描述 | This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system. These papers were presented at the four-day workshop on Mathematical Models of Tumor-Immune System Dynamics held in Sydney, Australia from January 7th to January 10th, 2013. The workshop brought together applied mathematicians, biologists, and clinicians actively working in the field of cancer immunology to share their current research and to increase awareness of the innovative mathematical tools that are applicable to the growing field of cancer immunology..Recent progress in cancer immunology and advances in immunotherapy suggest that the immune system plays a fundamental role in host defense against tumors and could be utilized to prevent or cure cancer. Although theoretical and experimental studies of tumor-immune system dynamics have a long history, there are still many unanswered questions about the mechanisms that govern the interaction between the immune system and a growing tumor. The multidimensional nature of these complex interactions requires a cross-disciplinary approach to capture more realistic dynamics of |
| 出版日期 | Conference proceedings 2014 |
| 关键词 | Agent-Based models; Cancer and mathematical modeling; Cancer immunology; Mathematical modeling; Tumor-Im |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4939-1793-8 |
| isbn_softcover | 978-1-4939-4717-1 |
| isbn_ebook | 978-1-4939-1793-8Series ISSN 2194-1009 Series E-ISSN 2194-1017 |
| issn_series | 2194-1009 |
| copyright | Springer Science+Business Media New York 2014 |
发表于 2025-3-21 17:24:59
