Methods for determining key components in a mathematical model for tumor-immune dynamics in multiple myeloma.
J Theor Biol
; 458: 31-46, 2018 12 07.
Article
in En
| MEDLINE
| ID: mdl-30172689
ABSTRACT
In this work, we analyze a mathematical model we introduced previously for the dynamics of multiple myeloma and the immune system. We focus on four main aspects (1) obtaining and justifying ranges and values for all parameters in the model; (2) determining a subset of parameters to which the model is most sensitive; (3) determining which parameters in this subset can be uniquely estimated given certain types of data; and (4) exploring the model numerically. Using global sensitivity analysis techniques, we found that the model is most sensitive to certain growth, loss, and efficacy parameters. This analysis provides the foundation for a future application of the model prediction of optimal combination regimens in patients with multiple myeloma.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Computer Simulation
/
Models, Immunological
/
Multiple Myeloma
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
J Theor Biol
Year:
2018
Document type:
Article