A Bayesian approach to estimate the diffusion coefficient of Rhodamine 6G in breast cancer spheroids.

ABSTRACT: Multicellular spheroids have emerged as a robust platform to model tumor growth and are widely used for studying drug sensitivity. Diffusion is the main mechanism for transporting nutrients and chemotherapeutic drugs into spheroids, since they are typically avascular. In this study, the Bayesian inference was used to solve the inverse problem of determining the light attenuation coefficient and diffusion coefficient of Rhodamine 6G (R6G) in breast cancer spheroids, as a mock drug for the tyrosine kinase inhibitor, Neratinib. Four types of breast cancer spheroids were formed and the diffusion coefficient was estimated assuming a linear relationship between the intensity and concentration. The mathematical model used for prediction is the solution to the diffusion problem in spherical coordi

SUBMITTER: Boodaghi M 

PROVIDER: S-EPMC8671317 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature