Last edited by Mazuzilkree

Friday, July 24, 2020 | History

4 edition of **Mathematical modeling in immunology and medicine** found in the catalog.

Mathematical modeling in immunology and medicine

IFIP TC-7 Working Conference on Mathematical Modeling in Immunology and Medicine (1982 Moscow, R.S.F.S.R.)

- 64 Want to read
- 29 Currently reading

Published
**1983**
by North-Holland Pub. Co., Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. in Amsterdam, New York, New York
.

Written in English

- Immunology -- Mathematical models -- Congresses.,
- Medicine -- Mathematical models -- Congresses.,
- Allergy and immunology -- Congresses.,
- Medicine -- Congresses.,
- Models, Theoretical -- Congresses.,
- Mathematics -- Congresses.

**Edition Notes**

Statement | edited by G.I. Marchuk and L.N. Belykh. |

Contributions | Marchuk, G. I. 1925-, Belykh, L. N. 1953-, IFIP TC-7 (Organization), Akademii͡a︡ nauk SSSR. |

Classifications | |
---|---|

LC Classifications | QR182.2.M36 I34 1982 |

The Physical Object | |

Pagination | x, 396 p. : |

Number of Pages | 396 |

ID Numbers | |

Open Library | OL3160505M |

ISBN 10 | 0444865888 |

LC Control Number | 83002219 |

Combining radiotherapy with immune checkpoint blockade may offer considerable therapeutic impact if the immunosuppressive nature of the tumor microenvironment (TME) can be relieved. In this study, we used mathematical models, which can illustrate the potential synergism between immune checkpoint inhibitors and radiotherapy. A discrete-time pharmacodynamic model of the combination of. Mathematical Modelling. Mathematical modelling is the activity by which a problem involving the real-world is translated into mathematics to form a model which can then be used to provide information about the original real problem. From: Mathematics for Engineers and Technologists, Related terms: Energy Engineering; Mathematical Model.

Mathematical models can be profoundly helpful tools to make public health decisions and ensure optimal use of resources to reduce the morbidity and mortality associated with the COVID pandemic, but only if they are rigorously evaluated and valid and their projections are robust and reliable. A mathematical model of combined CD8 T cell costimulation by BB (CD) and OX40 (CD) receptors. Center for Quantitative Medicine, School of Medicine, UConn Health, Farmington Ave., Farmington, CT, USA. [email protected] (2)Department of Immunology, School of Medicine, UConn Health, Farmington Ave., Farmington, CT.

The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Papers should either provide biological insight as a result of mathematical analysis or identify and open up challenging new types of mathematical problems that derive from biological knowledge (in the form of . Mathematical models are powerful because they provide a method to explain past experiments and predict the outcomes of future experiments. A commonly used approach in microbial ecology literature is to develop correlation-based networks to describe the co-occurrence and dynamics of populations (6 – 8).

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Role of mathematical models in immunology There are many viewpoints in regard to the purpose of developing mathematical models to describe immunological phenomena: from explaining existing observations and generating new hypotheses that can be tested empirically (Ankomah and Levin ), to understanding which assumptions in the model are useful and generate outcomes Cited by: The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises.

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Interaction of the immune system with a target population of, e.g., bacteria, viruses, antigens, or tumor cells must be considered as a dynamic process. We describe this process by a system of two ordinary differential equations.

Although the model is strongly idealized it demonstrates how the combination of a few proposed nonlinear interaction rules between the immune system and its targets. A simple mathematical model including only effector cells making TNF-α, regulatory cells producing an inhibitor of TNF-α such as sTNFR and an activation signal from the allogeneic transplant gave rise to fluctuations in TNF production similar to those found experimentally.

14 Even such a simple model may help explain spiking temperature. In testing mathematical models against real data, we often have the situation of having to check whether data fits an equation.

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Mathematical analysis of the model is carried out.The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.