74 citations · 88 across the 13 of their papers we have counts for
5 papers · 1 filter
A Beginners Guide to Systems Simulation in Immunology
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin +1
Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. Thes…
Systems Dynamics or Agent-Based Modelling for Immune Simulation?
Grazziela P Figueredo, Uwe Aickelin, Peer-Olaf Siebers
In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guid…
Investigating Immune System Aging: System Dynamics and Agent-Based Modeling
Grazziela P. Figueredo, Uwe Aickelin
System dynamics and agent based simulation models can both be used to model and understand interactions of entities within a population. Our modeling work presented here is concern…
Defining a Simulation Strategy for Cancer Immunocompetence
Grazziela P. Figueredo, Uwe Aickelin
Although there are various types of cancer treatments, none of these currently take into account the effect of ageing of the immune system and hence altered responses to cancer. Re…
Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
Many advances in research regarding immuno-interactions with cancer were developed with the help of ordinary differential equation (ODE) models. These models, however, are not effe…