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Journal of Emerging Technologies
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Mankind’s future in the providence of bio-science: A nostalgia for the eugenic teleology of genetics and genomics

Authors: Michael Maduawuchi Uzomah;

Mankind’s future in the providence of bio-science: A nostalgia for the eugenic teleology of genetics and genomics

Abstract

This study is an attempt towards extolling the transhumanist eugenic significance of genetics and genomics, applying the critical tool of philosophy. One of the most remarkable areas contemporary science and technology has made an unprecedented, awesome and stunning progress is the area of bioscience and specifically bio-medical sciences (Genetics and Genomics). Modern scientists are strongly convinced that the human genes (in philosophical terms) are the basic substratum of the human nature, hence, research in human genome holds the master key towards uncloaking the incredible secret of human life, health and disease. The marvelous prospect of this emerging ontological approach in medicine that makes it relishing and fascinating is such that apart from being curative, it is also both preventive and regenerative. Through the aid of expository analytical method, this study reveals that there has been a renewed and increasing interest in bio-medicine, especially in stem cells research and embryology. Consequently, deducing from the findings of this study, this paper argues that, given the credible antecedences of scientific research and predictions, if the recesses of the human genes are penetrated and concealed data retrieved, the future of mankind promises to be relishing in the bosom of biomedicine; because diseases, aging, and most probably death would be overcome by mankind.

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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).
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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.
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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.
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