Abstract
Cancer development and progression is the result of biological phenomena that occur across multiple temporal and spatial scales. Recent years have seen a flurry of multi-scale mathematical models developed to generate and test new biological hypotheses related to cancer development, progression, and various treatment approaches. This has led to the development of new computational and analytical approaches aimed at investigating these multi-scale models.
This review volume summarises the state of the art related to the modelling, experimental investigation, and data assimilation of multi-scale phenomena during cancer development, evolution, and treatment, as well as the computational and analytical investigation of the multi-scale models developed to reproduce the biological phenomena. The book also identifies the experimental and theoretical open problems that will have to be addressed in the near future in order to advance this field. Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research is an excellent resource for both early career and advanced researchers.
This review volume summarises the state of the art related to the modelling, experimental investigation, and data assimilation of multi-scale phenomena during cancer development, evolution, and treatment, as well as the computational and analytical investigation of the multi-scale models developed to reproduce the biological phenomena. The book also identifies the experimental and theoretical open problems that will have to be addressed in the near future in order to advance this field. Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research is an excellent resource for both early career and advanced researchers.
| Original language | English |
|---|---|
| Place of Publication | Singapore |
| Publisher | World Scientific |
| Number of pages | 312 |
| ISBN (Electronic) | 9781800614383, 9781800614390 |
| ISBN (Print) | 9781800614376 |
| DOIs | |
| Publication status | Published - Dec 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment'. Together they form a unique fingerprint.Research output
- 2 Chapter (peer-reviewed)
-
Multi-Scale Mathematical Modelling and Simulations of Chemo-Viro-Therapies for Cancer
Macarie, A. & Trucu, D., Dec 2024, Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment. Eftimie, R. & Trucu, D. (eds.). Singapore: World Scientific, p. 149-180Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
-
Spatio-Temporal-Structural Approaches in Cancer and Immunity Focussed on Oncolytic Viral Therapies
Hodgkinson, A. & Trucu, D., Dec 2024, Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment. Eftimie, R. & Trucu, D. (eds.). Singapore: World Scientific, p. 181-212Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver