In silico cancer models based on statistical analysis of genetic aberrations, transcriptional activity, and pathway enrichment can provide important insights into the molecular phenomena that generate and propagate malignant cells.
The model mimics the phenomenon of initial cancer growing starting from the stage of the atypical hyperplasia and reproduces the action of the vaccine in ...
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The goal of this study is to find a model-based approach to determine a vaccination schedule using in-silico experiments. The model we propose reproduce the ...
The model mimics the phenomenon of initial cancer growing starting from the stage of the atypical hyperplasia and reproduces the action of the vaccine in ...
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Cancer Immunoprevention: What Can We Learn from in Silico Models? ... Authors: Francesco Pappalardo; Marzio Pennisi; Alessandro Cincotti; Ferdinando Chiacchio ...
In silico cancer immunotherapy trials uncover the consequences of ...
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Apr 24, 2023 · We find that all three simulation models predict the distinctive survival curve shapes commonly associated with immunotherapies.
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In silico and mathematical modeling lends itself to the determination of preliminary information such as toxicity, pharmacokinetics, and efficacy, which can ...
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A genetic algorithm and an agent-based mathematical model that can predict cancer vaccine activity reveal critical issues in vaccine design.
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We present an in silico model that simulates the immune system responses to tumor cells in naive and vaccinated mice. We have demonstrated the ability of ...