• DocumentCode
    2909387
  • Title

    Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies

  • Author

    Chakrabarty, Ankush ; Pearce, Serena M. ; Nelson, Robert P. ; Rundell, Ann E.

  • Author_Institution
    Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    3790
  • Lastpage
    3795
  • Abstract
    Older subjects with acute myeloid leukemia (AML) or those with co-morbid conditions may not withstand conventional conditioning chemotherapy/radiation prior to hematopoietic stem cell (HSC) transplantation. A relatively mild conditioning is therefore being investigated prior to HSC transplantation. This study investigates the potential to describe personalization of conditioning for each subject using nonlinear model predictive control. A nonlinear ordinary differential equation (ODE) mathematical model of the conditioning regimen and HSC engraftment dynamics is presented. Its simulated dynamics are compared with averaged values from a de-identified clinical white blood cell engraftment data. The controller determines the optimal conditioning strategy administered to patients prior to HSC transplantation. A multi-objective controller designs the conditioning regimen to minimize the number of cancerous cells while limiting collateral damage to the patients tissues. The study serves as a preliminary investigation into the capability of mathematical modeling to optimize conditioning prior to HSC transplantation for treatment of acute myeloid leukemia (AML) in humans.
  • Keywords
    cancer; cellular biophysics; medical control systems; nonlinear control systems; nonlinear differential equations; predictive control; AML; HSC engraftment dynamics; HSC transplantation; ODE mathematical model; acute myeloid leukemia; cancerous cell; comorbid condition; conditioning chemotherapy; hematopoietic stem cell; mild conditioning; multiobjective controller design; multiobjective personalization strategy; nonlinear model predictive control; nonlinear ordinary differential equation; patient tissue; radiation; white blood cell engraftment data; Blood; Cancer; Cells (biology); Chemotherapy; Data models; Immune system; Mathematical model; AML; hematopoeitic stem cell transplantation; multi-objective optimization; nonlinear MPC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580417
  • Filename
    6580417