Abstract
Cancer is known as one of the leading causes of death in the world with difficult
diagnose at early stages, poor prognosis and high mortality. Animal-based
experiments and clinical trials have always been the main approach for cancer
research, albeit they may have limitations and ethical issues. Mathematicalmodeling
as an efficient method is used to predict results, optimize experimental design
and reduce animal use. Our work focuses on the phenomenological simulation
of cancer progression and therapies at the cell scale level.
diagnose at early stages, poor prognosis and high mortality. Animal-based
experiments and clinical trials have always been the main approach for cancer
research, albeit they may have limitations and ethical issues. Mathematicalmodeling
as an efficient method is used to predict results, optimize experimental design
and reduce animal use. Our work focuses on the phenomenological simulation
of cancer progression and therapies at the cell scale level.
| Original language | English |
|---|---|
| Awarding Institution |
|
| Supervisors/Advisors |
|
| Award date | 23 Jan 2020 |
| Print ISBNs | 978-94-6366-245-1 |
| DOIs | |
| Publication status | Published - 2020 |
Keywords
- Reaction-diffusion equation
- Biomechanics
- Cell-based modeling
- Cellular automata
- Monte Carlo simulations
- Pancreatic cancer
- Cancer therapy
