Current Trends of Artificial Intelligence in Nanosciences Application

Gizealew Alazie Dagnaw; Gubala Getu Endeshaw

doi:doi:10.11648/j.ns.20190404.14

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Current Trends of Artificial Intelligence in Nanosciences Application

Gizealew Alazie Dagnaw, Gubala Getu Endeshaw

Published in Nuclear Science (Volume 4, Issue 4)

Received: 6 November 2019 Accepted: 6 December 2019 Published: 11 December 2019

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Abstract

Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.

Published in	Nuclear Science (Volume 4, Issue 4)
DOI	10.11648/j.ns.20190404.14
Page(s)	60-65
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Artificial Intelligence, Nanosciences, Nanotechnology, Nonmaterial

References

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[5]	G. A. Silva, “A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence,” vol. 12, no. November, pp. 1–8, 2018.
[6]	B. A. Bowser, M. Sloan, P. Michelucci, and E. Pauwels, “Artificial Intelligence: A Policy-Oriented Introduction,” no. November, 2017.
[7]	N. Subcommittee, N. Science, and T. Council, “THE NATIONAL NANOTECHNOLOGY INITIATIVE SUPPLEMENT TO THE PRESIDENT’ S 2019 BUDGET,” no. August 2018.
[8]	“Nanoscience and nanotechnologies: opportunities and uncertainties,” no. July, 2004.
[9]	J. B. Lewis, “Artificial Intelligence for Nanoscale Design Artificial Intelligence for Nanoscale Design,” 2018.
[10]	T. Review, “Artificial intelligence in nanotechnology,” 2013.
[11]	“Structure prediction of hybrid nanoparticles via artificial intelligence (HNP-AI),” 2017.
[12]	N. A. Ochekpe, P. O. Olorunfemi, and C. Ndidi, “Nanotechnology and Drug Delivery Part 1: Background and Applications,” vol. 8, no. June, pp. 265–274, 2009.
[13]	M. Ai, E. Systems, E. Ramedis, D. Warhouse, and E. Pathaligner, “Applications of Artificial Intelligence Bioinformatics,” 2018.
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APA Style

Gizealew Alazie Dagnaw, Gubala Getu Endeshaw. (2019). Current Trends of Artificial Intelligence in Nanosciences Application. Nuclear Science, 4(4), 60-65. https://doi.org/10.11648/j.ns.20190404.14

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ACS Style

Gizealew Alazie Dagnaw; Gubala Getu Endeshaw. Current Trends of Artificial Intelligence in Nanosciences Application. Nucl. Sci. 2019, 4(4), 60-65. doi: 10.11648/j.ns.20190404.14

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AMA Style

Gizealew Alazie Dagnaw, Gubala Getu Endeshaw. Current Trends of Artificial Intelligence in Nanosciences Application. Nucl Sci. 2019;4(4):60-65. doi: 10.11648/j.ns.20190404.14

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@article{10.11648/j.ns.20190404.14,
  author = {Gizealew Alazie Dagnaw and Gubala Getu Endeshaw},
  title = {Current Trends of Artificial Intelligence in Nanosciences Application},
  journal = {Nuclear Science},
  volume = {4},
  number = {4},
  pages = {60-65},
  doi = {10.11648/j.ns.20190404.14},
  url = {https://doi.org/10.11648/j.ns.20190404.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ns.20190404.14},
  abstract = {Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.},
 year = {2019}
}

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TY  - JOUR
T1  - Current Trends of Artificial Intelligence in Nanosciences Application
AU  - Gizealew Alazie Dagnaw
AU  - Gubala Getu Endeshaw
Y1  - 2019/12/11
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AB  - Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.
VL  - 4
IS  - 4
ER  -

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Author Information

Gizealew Alazie Dagnaw

Department of Information Science, Faculty of Informatics, University of Gondar, Gondar, Ethiopia
Gubala Getu Endeshaw

Department of Information Technology, School of Computing and Informatics, Mizan-Tepi University, Tepi, Ethiopia

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APA Style

Gizealew Alazie Dagnaw, Gubala Getu Endeshaw. (2019). Current Trends of Artificial Intelligence in Nanosciences Application. Nuclear Science, 4(4), 60-65. https://doi.org/10.11648/j.ns.20190404.14

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ACS Style

Gizealew Alazie Dagnaw; Gubala Getu Endeshaw. Current Trends of Artificial Intelligence in Nanosciences Application. Nucl. Sci. 2019, 4(4), 60-65. doi: 10.11648/j.ns.20190404.14

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AMA Style

Gizealew Alazie Dagnaw, Gubala Getu Endeshaw. Current Trends of Artificial Intelligence in Nanosciences Application. Nucl Sci. 2019;4(4):60-65. doi: 10.11648/j.ns.20190404.14

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@article{10.11648/j.ns.20190404.14,
  author = {Gizealew Alazie Dagnaw and Gubala Getu Endeshaw},
  title = {Current Trends of Artificial Intelligence in Nanosciences Application},
  journal = {Nuclear Science},
  volume = {4},
  number = {4},
  pages = {60-65},
  doi = {10.11648/j.ns.20190404.14},
  url = {https://doi.org/10.11648/j.ns.20190404.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ns.20190404.14},
  abstract = {Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.},
 year = {2019}
}

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TY  - JOUR
T1  - Current Trends of Artificial Intelligence in Nanosciences Application
AU  - Gizealew Alazie Dagnaw
AU  - Gubala Getu Endeshaw
Y1  - 2019/12/11
PY  - 2019
N1  - https://doi.org/10.11648/j.ns.20190404.14
DO  - 10.11648/j.ns.20190404.14
T2  - Nuclear Science
JF  - Nuclear Science
JO  - Nuclear Science
SP  - 60
EP  - 65
PB  - Science Publishing Group
SN  - 2640-4346
UR  - https://doi.org/10.11648/j.ns.20190404.14
AB  - Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.
VL  - 4
IS  - 4
ER  -

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