TY - GEN
T1 - A mathematical framework for analyzing drug combination toxicity for personalized medicine applications
AU - Rahman, Raziur
AU - Pal, Ranadip
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85010661913&partnerID=8YFLogxK
U2 - 10.1109/HIC.2016.7797685
DO - 10.1109/HIC.2016.7797685
M3 - Conference contribution
AN - SCOPUS:85010661913
T3 - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
SP - 13
EP - 16
BT - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
Y2 - 9 November 2016 through 11 November 2016
ER -