… Here, we develop a hybrid agent-based model (ABM) to capture … Our model is a hybrid ABM
comprised of cancer cells and … PK/PD data gathered in the lab and the computational model…

… and pharmacodynamic (PK/PD) models, which typically … a comprehensive review of
mathematical models describing … , but other approaches, such as agent based models, 6 are also …

… to applying PK/PD and other dose/exposure analyses in oncology. Partly… Agent-based and
individual-based simulations are … , all the models selected should be included in an integrated …

… Our model is a hybrid ABM comprised of cancer cells and … The overall probability for cell
killing becomes the integration … cell PK/PD data gathered in the lab and the computational model…

… or another complicate integration into, and practical use of a mathematical model. For example…
For example, cellular automata and agent-based models (ABMs) (129), as well as various …

… , suitable for modelling cancer. We show different approaches for integrating Boolean …
considering expanding this work with the recent inclusion of PK/PD models in PhysiCell 44 . …

… models, agent-based models, and logic-based models. Pros … Based on their PK/PD modelling,
they suggested testing the … Additionally, their simplicity also allows for a comprehensive …

… of QSP models and spatially resolved agent-based models (… a model of cancer development
in the context of anti-cancer … (PK/PD) modules as part of the overall whole-patient model, it is …

… to integrate this data in a quantitative manner to make informed decisions. There have been
innumerable published mechanistic models … More recently, hybrid agent-based models …

… pharmacology model is built to integrate immune-cancer cell … model, there are other
ODE-based and agentbased models … While T cell trafficking equations and the PK/PD module of …