A mathematical framework for analyzing drug combination toxicity for personalized medicine applications

Raziur Rahman, Ranadip Pal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The use of drug combinations to increase efficacy and lower resistance to therapy for personalized cancer medicine is being commonly recognized. Approaches have been recently designed to address the selection of drug combinations that can be highly effective across tumor cells but limited research have been conducted on the toxicity of these unique drug combinations. In this article, we approach this problem of combination drug toxicity by analyzing drug synergy over in vitro normal cell lines and generate combination drug concentrations whose combined effect on normal cell lines is less than the maximum monotherapy effect at approved concentrations. We present a mathematical framework for combination response estimation among multiple cell cultures along with stochastic analysis of prediction uncertainty. Results indicate the ability of the proposed framework to generate feasibly combination drug concentrations satisfying monotherapy toxicity constraints.

Original languageEnglish
Title of host publication2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-16
Number of pages4
ISBN (Electronic)9781509011667
DOIs
StatePublished - Dec 27 2016
Event2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016 - Cancun, Mexico
Duration: Nov 9 2016Nov 11 2016

Publication series

Name2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016

Conference

Conference2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
CountryMexico
CityCancun
Period11/9/1611/11/16

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