BioMaths Colloquium Series - 2014/15
14 November 2014 - 3pm - Maths Seminar Room (room 224 Talbot Building 2nd floor)
Computational and Mathematical Approaches in Cancer Modelling and Treatment Prediction
Dr Gibin Powathil
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| Image provided by Gibin Powathil |
For our second BioMaths Colloquium seminar we will host a talk by Dr. Gibin Powathil from Swansea University. Gibin recently joined the Maths Department and is broadly interested in Mathematical Biology and Computational Mathematics, with a special interest in Mathematical Oncology. Specifically, Gibin's research concerns multiscale cancer modelling, modelling anticancer therapies as well as developing applications of imaging techniques in cancer modelling, but extend also to modelling wound healing.
The issues addressed by Gibin's talk this week are especially exciting for the broad aims of the BioMaths series, as understanding how individual differences and individual interactions scale up to the population level is a hot topic also in current research in biosciences, especially in ecology and evolution.
Abstract
Each individual cancer cell within a cancer cell mass is unique, with its own internal cellular pathways and biochemical interactions. These interactions contribute to the functional changes at the cellular and tissue scale, creating a heterogeneous cancer cell population. Multiscale mathematical models incorporating such complex interactions can help in studying cancer progression and serve as an in silico test base for comparing and optimising various multi-modality anticancer treatment protocols such as chemotherapy and radiation therapy.
Each individual cancer cell within a cancer cell mass is unique, with its own internal cellular pathways and biochemical interactions. These interactions contribute to the functional changes at the cellular and tissue scale, creating a heterogeneous cancer cell population. Multiscale mathematical models incorporating such complex interactions can help in studying cancer progression and serve as an in silico test base for comparing and optimising various multi-modality anticancer treatment protocols such as chemotherapy and radiation therapy.
In this talk, I will consider a hybrid individual cell-based mathematical and computational model, incorporating single-cell based intracellular dynamics, the cell microenvironment and cell-cell interactions to study the growth and progression of cancer cell mass. The model will be then used to study cell-cycle-based tumour heterogeneity and analyse how it contributes to the potential chemotherapeutic drug resistance within a heterogeneous tumour.
Hope to see many of you!
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