Computational analysis of cytokine release following bispecific T-cell engager therapy
Modeling & simulation
Predicting disease progression and treatment efficacy
We develop mathematical models of physiological processes in normal and disease conditions, and Quantitative Systems Pharmacology (QSP) models of increased complexity enabling to predict disease progression or treatment efficacy in several conditions
What we do
Multiscale QSP models
COSBI has experience on a wide-range of different types of mathematical models, from deterministic ODE-based models to pure stochastic reaction networks, enabling the description of biological systems of increasing complexity, from single pathways to whole-body, hierarchical, Quantitative Systems Pharmacology (QSP) models.
Using advanced computational tools, we have successfully applied our strategy to neurological, metabolic and immuno-inflammatory disorders. We have developed a proprietary pipeline for model-based subject stratification, which demonstrated to be particularly promising in very challenging conditions, where the limited number of subjects or the complexity of the disease prevent the application of standard statistical methods.
Our Technology
Case Studies
Modeling & simulation