Initial Computational Research on Steering T Cell Differentiation
Abstract
Integrated the T cell simulator -- that had been built by Prof. Penelope Morel (animmunologist) and her collaborators -- into our planning algorithm and software. Developed CFR game-solving algorithms and single-agent sequential planning algorithms for the problem. These algorithms use sampling of game paths during solving -- so that the simulator does not have to be run on all possible game states in advance (or, actually, ever) to generate the game model. Conducted computational experiments using the proposed system with different goals (that is, different objectives for what kind of T cell population is desired; e.g., the population desired in a cancer patient is very different than in an autoimmune diabetes patient) and with different available control actions (e.g., different inhibitors). Presented the output plans to Prof. Morel and iterated with her to refine the models.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 30, 2017
- Source ID
- W911NF1610061
Entities
People
- Tuomas Sandholm
Organizations
- Army Contracting Command
- Massachusetts Institute of Technology
- United States Army