MCMC Methods for Parameter Estimation in ODE Systems for CAR-T Cell Cancer Therapy.

ABSTRACT: Chimeric antigen receptor (CAR)-T cell therapy represents a breakthrough in treating resistant hematologic cancers. It is based on genetically modifying T cells transferred from the patient or a donor. Although its implementation has increased over the last few years, CAR-T has many challenges to be addressed, for instance, the associated severe toxicities, such as cytokine release syndrome. To model CAR-T cell dynamics, focusing on their proliferation and cytotoxic activity, we developed a mathematical framework using ordinary differential equations (ODEs) with Bayesian parameter estimation. Bayesian statistics were used to estimate model parameters through Monte Carlo integration, Bayesian inference, and Markov chain Monte Carlo (MCMC) methods. This paper explores MCMC methods, including

SUBMITTER: Antonini E 

PROVIDER: S-EPMC11430073 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature