Lecture: Mathematical Models of Cancer and Tumor Growth
Details
Content
1. Fundamental considerations on cancer biology
2. Role of modelling in cancer research and anti-cancer drugs
development
3. Fundamentals of tumour growth and cancer modelling
4. Modelling the activity of anti-cancer agents
5. Multiscale/Integrative Cancer Modelling
Lectures
* Introduction
* Lecture 1
* Lecture 2
* Reference List
* Lecture 3
* Lecture 4
* Lecture 5
* Lecture 6
* Lecture 7
* Multiscale paper review
* Delay models for tumor growth (by Maria Barbarossa)
Lecture Material
*
Can Math Cure Cancer
*
Cancer summed up
*
Future Drugs
*
Integrative Mathematical Oncology
*
Lifeweek
*
Nature.
*
Researcher outsmarts brain tumours
*
SIAM News
*
The Right Equation
Literature
1. Cancer Modelling and Simulation, Edited by Luigi Preziosi
2. Computational Biology of Cancer: Lecture Notes and Mathematical Modeling. Dominik Wodarz (Autor), Natalia Komarova (Autor)
3. Selected Topics in Cancer Modeling Genesis, Evolution, Immune Competition, and Therapy (Nicola Bellomo, Mark Chaplain, Elena De Angelis : editors)
4. Multiscale Modeling of Cancer. V. Cristini and J. Lowengrub. Cambridge University Press, Cambridge, UK, 2010. ISBN 978-0521884426. (in press)
Marking Criteria
I would be looking at a good understanding of the topic or the paper, and the equations/model associated.
Some specific criteria:
- being written in the recommended format (pressentation) and of an appropriate length (20 mins in total, including questions);
- giving a clear, concise and well-structured account of the topic/paper;
- understanding of and insight into key issues;
- examples to support and/or question established theory;
- full bibliography and appropriate referencing;
- being correctly written in standard English.
It would also be good to show relevant and appropriate reading.
