OPTIMAL CANCER THERAPY BASED ON A TUMOR GROWTH INHIBITION MODEL Conference Paper uri icon

abstract

  • The most effective cancer treatments are the ones that prolong patients' lives while offering a reasonable quality of life during and after treatment. The treatments must also carry out their actions rapidly and with high efficiency such that a very large percentage of tumor cells die or shift into a state where they stop proliferating. Due to biological and micro-environmental variabilities within tumor cells, the action period of an administered drug can vary among a population of patients. In this paper, based on a recently proposed model for tumor growth inhibition, we first characterize the variability of the length of drug action probabilistically. Then, we present a methodology to devise optimal intervention strategies for any Markovian genetic regulatory network governing the tumor when the antitumor drug has a random-length duration of action. 2012 IEEE.

name of conference

  • 2012 IEEE Statistical Signal Processing Workshop (SSP)

published proceedings

  • 2012 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP)

author list (cited authors)

  • Yousefi, M. R., Datta, A., & Dougherty, E. R.

citation count

  • 0

complete list of authors

  • Yousefi, Mohammadmahdi R||Datta, Aniruddha||Dougherty, Edward R

publication date

  • August 2012