Oct 26, 2018

Stochastic models of the growth dynamics of some dendritic cells

BioRxiv : the Preprint Server for Biology
Khairia El-Said El-Nadi

Abstract

Different models of tumor growth are considered. Some mathematical methods are developed to analyze the dynamics of mutations enabling cells in cancer patients to metastize. The mathematical models consist of some stochastic dynamical systems describing tumor cells and immune effectors. It is also considered a method to find the ideal outcome of some treatments. Some different types of dendritic cells are considered. The obtained results will help to find some suitable treatments,which can be successful in returning an aggressive tumor to its passive,non-immune evading state. The principle goal of this paper is to find ways to treat the cancer tumors before they can reach an advanced stage development.

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Tumor Cells, Uncertain Whether Benign or Malignant
Neoplastic Cell
Neoplasms
Tumor Growth
Malignant Neoplasms
Metastatic Malignant Neoplasm to Brain
Dendritic Cells
Aggressive Cancer

About this Paper

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Cancer Vaccines

Cancer vaccines are vaccines that either treat existing cancer or prevent development of a cancer.

© 2020 Meta ULC. All rights reserved