A Causal (Regression) Analysis for Cancer Formation under a Corresponding Virus Attack

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Carson Lam Kai Shun

Abstract

Cancer or COVID-19 virus can be serious harmful diseases to our human beings. However, by understanding how these diseases will be formed, we may construct the corresponding statistical causality regression model or even the artificial intelligence one. This may help us develop the corresponding drugs or vaccine. Indeed by applying the techniques as stated in one of my paper, one may even control the mutation or the evolution of the cancer or the COVID-19 virus whenever the Lorenz attract or the Butterfly effects existing during the virus mutation process. This may be a breakthrough in the history of fighting against our human beings’ nature enemy — virus.

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Research Article

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