Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview

Gerardo M. Casañola-Martin, Hai Pham-The

Source Title: Research Anthology on Machine Learning Techniques, Methods, and Applications

ISBN13: 9781668462911|ISBN10: 1668462915|EISBN13: 9781668462928

DOI: 10.4018/978-1-6684-6291-1.ch003

MLA

Casañola-Martin, Gerardo M., and Hai Pham-The. "Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview." Research Anthology on Machine Learning Techniques, Methods, and Applications, edited by Information Resources Management Association, IGI Global, 2022, pp. 38-45. https://doi.org/10.4018/978-1-6684-6291-1.ch003

APA

Casañola-Martin, G. M. & Pham-The, H. (2022). Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview. In I. Management Association (Ed.), Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 38-45). IGI Global. https://doi.org/10.4018/978-1-6684-6291-1.ch003

Chicago

Casañola-Martin, Gerardo M., and Hai Pham-The. "Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview." In Research Anthology on Machine Learning Techniques, Methods, and Applications, edited by Information Resources Management Association, 38-45. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-6291-1.ch003

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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.