Title	Estimating Intratumoral Heterogeneity from Spatiotemporal Data
Creator	Rutter, Erica
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-11-28T09:03
Description	Glioblastoma Multiforme (GBM) is a malignant heterogenous cancer in the brain. We propose modeling GBM with heterogeneity in cell phenotypes using a random differential equation version of the reaction-diffusion equation, where the parameters describing diffusion (D) and proliferation (Ï ) are random variables. We investigate the ability to perform the inverse problem to recover the probability distributions of D and Ï solely from spatiotemporal data, for a variety of probability distribution functions. We test the ability to perform the inverse problem for noisy synthetic data. We then examine the predicted effect of treatment, specifically, chemotherapy, when assuming such a heterogeneous population and compare with predictions from a homogeneous cell population model.
Extent	30.0
Subject	Mathematics; Partial differential equations; Biology and other natural sciences; Mathematical biology
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: North Carolina State University
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-05-28
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0379031
URI	http://hdl.handle.net/2429/70350
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Postdoctoral
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Estimating Intratumoral Heterogeneity from Spatiotemporal Data Rutter, Erica

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