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FM Modulated Smart Drug Algorithm for the treatment of Cancer Cells

Authors: Emin T. E.; İhsan Ömür B.;

FM Modulated Smart Drug Algorithm for the treatment of Cancer Cells

Abstract

This research work presents an alternative treatment method of cancer cells analogous to the earlier work entitled “Modeling and Simulation of Smart-Drug Algorithms Through Frequency Modulation for the Treatment of Covid- 19 and Similar Viruses” [1]. In another words, it includes a further and extended phase of the previous research and it covers an application of the medical treatment of cancer cell viruses. Based on the analogy to be elaborated here, it is predicted that cancer cells may behave similarly to the structured RNA viruses such as Covid-19 and other coronaviruses. Therefore, it explains modeling and simulation of a smart-drug algorithm, controlled by a biorobotic system, through Frequency Modulation (FM) for the medical treatment of cancer cells. The method discussed here is based on the assumption that the frequency variations for both the RNA configuration of the cancer cell and the drug algorithm are in sinusoidal waveform. Accordingly, when the FM range of the drug algorithm created by the bio-robotic system coincides with the range of the frequency variation of the structured RNA configuration of the cancer cell, cancer activation is terminated in a similar manner to the energy distribution produced by two mutually canceling sinusoidal wave forms. This thermodynamic interaction between the cancer cell and the drug over the boundaries of the existing open cell system will lead to the disruption of the working mechanism of the cancer cell's RNA structure. As a result, the negative effects of the cancer cell can be counteracted by slowing it down and the immune system can regain control of the body, and finally the patient's treatment will progress for the better. It is a fact that under the condition of the successful implementation of the medical treatment method described here, promising progress will be made in the treatment of cancer disease. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Cancer Research