The Resource Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)
Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)
Resource Information
The item Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- Summary
- 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 the essential biology. The papers presented in this volume explore these issues and the results will be of interest to graduate students and researchers in a variety of fields within mathematical and biological sciences--
- Language
- eng
- Extent
- X, 275 pages : 95 illustrations : 80 illustrations in color ;
- Contents
-
- Incorporating Asymmetric Stem Cell Division into the Roeder Model for Chronic Myeloid Leukemia
- A Cellular Automata and a Partial Differential Equation Model of Tumor-Immune Dynamics and Chemotaxis
- A Structured Population Model of Competition between Cancer Cells and T Cells under Immunotherapy
- Modeling Tumor-Immune Dynamics
- The Mathematics of Drug Delivery
- The Role of the miR-451-AMPK Signaling Pathway in Regulation of Cell Migration and Proliferation in Glioblastoma
- An Optimal Control Approach to Cancer Chemotherapy with Tumor-Immune System Interactions
- Negative feedback regulation in hierarchically organized tissues: Exploring the dynamics of tissue regeneration and the role of feedback escape in tumor development
- A Cellular Automata Model to Investigate Immune Cell-Tumor Cell Interactions in Growing Tumors in Two Spatial Dimensions
- Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic
- Isbn
- 9781493917938
- Label
- Mathematical Models of Tumor-Immune System Dynamics
- Title
- Mathematical Models of Tumor-Immune System Dynamics
- Statement of responsibility
- edited by Amina Eladdadi, Peter Kim, Dann Mallet
- Language
- eng
- Summary
- 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 the essential biology. The papers presented in this volume explore these issues and the results will be of interest to graduate students and researchers in a variety of fields within mathematical and biological sciences--
- Assigning source
- Provided by Publisher
- Image bit depth
- 0
- Literary form
- non fiction
- http://library.link/vocab/relatedWorkOrContributorName
-
- Eladdadi, Amina.
- Kim, Peter.
- Mallet, Dann.
- SpringerLink (Online service)
- Series statement
- Springer Proceedings in Mathematics & Statistics,
- Series volume
- 107
- http://library.link/vocab/subjectName
-
- Mathematics
- Cancer research
- Dynamics
- Ergodic theory
- Mathematical physics
- Mathematical models
- Label
- Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier.
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Contents
- Incorporating Asymmetric Stem Cell Division into the Roeder Model for Chronic Myeloid Leukemia -- A Cellular Automata and a Partial Differential Equation Model of Tumor-Immune Dynamics and Chemotaxis -- A Structured Population Model of Competition between Cancer Cells and T Cells under Immunotherapy -- Modeling Tumor-Immune Dynamics -- The Mathematics of Drug Delivery -- The Role of the miR-451-AMPK Signaling Pathway in Regulation of Cell Migration and Proliferation in Glioblastoma -- An Optimal Control Approach to Cancer Chemotherapy with Tumor-Immune System Interactions -- Negative feedback regulation in hierarchically organized tissues: Exploring the dynamics of tissue regeneration and the role of feedback escape in tumor development -- A Cellular Automata Model to Investigate Immune Cell-Tumor Cell Interactions in Growing Tumors in Two Spatial Dimensions -- Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic
- Control code
- 978-1-4939-1793-8
- Dimensions
- unknown
- Extent
- X, 275 pages : 95 illustrations : 80 illustrations in color ;
- File format
- multiple file formats
- Form of item
- electronic
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9781493917938
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia.
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4939-1793-8
- Other physical details
- 1 online resource.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1086528945
- Label
- Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier.
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Contents
- Incorporating Asymmetric Stem Cell Division into the Roeder Model for Chronic Myeloid Leukemia -- A Cellular Automata and a Partial Differential Equation Model of Tumor-Immune Dynamics and Chemotaxis -- A Structured Population Model of Competition between Cancer Cells and T Cells under Immunotherapy -- Modeling Tumor-Immune Dynamics -- The Mathematics of Drug Delivery -- The Role of the miR-451-AMPK Signaling Pathway in Regulation of Cell Migration and Proliferation in Glioblastoma -- An Optimal Control Approach to Cancer Chemotherapy with Tumor-Immune System Interactions -- Negative feedback regulation in hierarchically organized tissues: Exploring the dynamics of tissue regeneration and the role of feedback escape in tumor development -- A Cellular Automata Model to Investigate Immune Cell-Tumor Cell Interactions in Growing Tumors in Two Spatial Dimensions -- Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic
- Control code
- 978-1-4939-1793-8
- Dimensions
- unknown
- Extent
- X, 275 pages : 95 illustrations : 80 illustrations in color ;
- File format
- multiple file formats
- Form of item
- electronic
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9781493917938
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia.
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4939-1793-8
- Other physical details
- 1 online resource.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1086528945
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Mathematical-Models-of-Tumor-Immune-System/E2KsNRoTxGM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Mathematical-Models-of-Tumor-Immune-System/E2KsNRoTxGM/">Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Mathematical-Models-of-Tumor-Immune-System/E2KsNRoTxGM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Mathematical-Models-of-Tumor-Immune-System/E2KsNRoTxGM/">Mathematical Models of Tumor-Immune System Dynamics, edited by Amina Eladdadi, Peter Kim, Dann Mallet, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
