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Titlebook: Mathematical Models of Tumor-Immune System Dynamics; Amina Eladdadi,Peter Kim,Dann Mallet Conference proceedings 2014 Springer Science+Bus

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書目名稱Mathematical Models of Tumor-Immune System Dynamics
編輯Amina Eladdadi,Peter Kim,Dann Mallet
視頻videohttp://file.papertrans.cn/627/626462/626462.mp4
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Mathematical Models of Tumor-Immune System Dynamics;  Amina Eladdadi,Peter Kim,Dann Mallet Conference proceedings 2014 Springer Science+Bus
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
關鍵詞Agent-Based models; Cancer and mathematical modeling; Cancer immunology; Mathematical modeling; Tumor-Im
版次1
doihttps://doi.org/10.1007/978-1-4939-1793-8
isbn_softcover978-1-4939-4717-1
isbn_ebook978-1-4939-1793-8Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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https://doi.org/10.1007/978-1-4939-1793-8Agent-Based models; Cancer and mathematical modeling; Cancer immunology; Mathematical modeling; Tumor-Im
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Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/m/image/626462.jpg
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Conference proceedings 2014une 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
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