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Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview

Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview

Gerardo M. Casañola-Martin, Hai Pham-The
Copyright: © 2019 |Volume: 4 |Issue: 1 |Pages: 7
ISSN: 2640-0383|EISSN: 2640-0391|EISBN13: 9781522582120|DOI: 10.4018/IJANR.2019010101
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MLA

Casañola-Martin, Gerardo M., and Hai Pham-The. "Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview." IJANR vol.4, no.1 2019: pp.1-7. http://doi.org/10.4018/IJANR.2019010101

APA

Casañola-Martin, G. M. & Pham-The, H. (2019). Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview. International Journal of Applied Nanotechnology Research (IJANR), 4(1), 1-7. http://doi.org/10.4018/IJANR.2019010101

Chicago

Casañola-Martin, Gerardo M., and Hai Pham-The. "Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview," International Journal of Applied Nanotechnology Research (IJANR) 4, no.1: 1-7. http://doi.org/10.4018/IJANR.2019010101

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Abstract

The development of machine learning algorithms together with the availability of computational tools nowadays have given an increase in the application of artificial intelligence methodologies in different fields. However, the use of these machine learning approaches in nanomedicine remains still underexplored in certain areas, despite the development in hardware and software tools. In this review, the recent advances in the conjunction of machine learning with nanomedicine are shown. Examples dealing with biomedical properties of nanoparticles, characterization of nanomaterials, text mining, and image analysis are also presented. Finally, some future perspectives in the integration of nanomedicine with cloud computing, deep learning and other techniques are discussed.