Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview

View Sample PDF

Author(s): Gerardo M. Casañola-Martin (North Dakota State University, Fargo, USA)and Hai Pham-The (Hanoi University of Pharmacy, Hanoi, Vietnam)
Copyright: 2022
Pages: 8
Source title: Research Anthology on Machine Learning Techniques, Methods, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-6291-1.ch003

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

Purchase

View Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Machine Learning Applications in Nanomedicine and Nanotoxicology: An Overview

Purchase

Abstract

Related Content

IRMA Sponsors