Abstract

  Virus fighting are going to become a common and convenient means for human to will be survived. More-and-more Viruses are kept on arriving over the world, forcing human to increase the set of knowledge and using intelligent data to predict and decide more accurately and correctly. The availability of different new viruses increase the complexity of discovery as well as the selection process to overcome them. In this research we are sharing our results from data science to fight against the new generation of viruses. Our data consist of human body to observe calcium and etc.. At the end we try to offer the ways which human can fight with these viruses. By decreasing the probability of increasing human’s immunities body and some other useful ways. In addition Long and healthy life are going to become a common and convenient means for human to will be survived. More-and-more health problems are kept on arriving over the world, forcing human to increase the set of knowledge and using intelligent data to predict and decide more accurately and correctly. The availability of different new health problems increase the complexity of discovery as well as the selection process to overcome them. In this research we are sharing our results from data science to fight against the new generation of health problems by using stem cells and at the end we try to offer the ways which human will be able to live longer and healthier. By using reliving stem cells in the body and also some other useful ways.

Keywords: Antivirus; Vitamin D; Virus Fusion; Olive Leaf; Antioxidant; Antiviral; Antibacterial; Blood Pressure; Immune System; Liver; Obesity Our; Electro Static; Leech Therapy; Calcium; Magnesium; Potassium; Stem Cells; ABAR1 Enzyme; MSI-1436

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Citation

Citation: Amir Reza Shahbazkia., et al. “Not to Think After Virus Attack, Sentence People Not to Be". Acta Scientific Computer Sciences 3.1 (2021): 10-29.

Copyright

Copyright: © 2021 Amir Reza Shahbazkia., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.