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Table 14 Summary of findings

From: Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective

Case Study Outcome of the comparison Explanation Population size
1) Tumour/Effector • Most results were different • It appears that variabilities in small populations have major impacts in the outcomes Varied from 5 to 600
2) Tumour/Efector • Results were statistically/IL-2 the same • Large populations
• Less variability in the agents' populations
3) Tumour/Effector/ IL-2/ TGF-β • Different runs with outcome variations
• Simulations produced alternative scenarios
• The behaviour of the curves is less erratic for agents
• Agent-based stochasticity
• New scenarios need further investigations to assess their feasibility
• Large numbers of agents