Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials

Xiaoyang Zhu; Yan Li; Ning Gu

doi:10.26599/NBE.2023.9290035

Nano Biomedicine and Engineering 2023, 15(3): 342-353 https://doi.org/10.26599/NBE.2023.9290035

Review |

Open Access | Issue | Published: 12 October 2023

Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials

Show Author's Information Hide Author's Information Xiaoyang Zhu^¹, Yan Li^¹(

), Ning Gu^²(

)

1State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, China

2Medical School, Nanjing University, Nanjing 210093, China

Keywords:

machine learning, artificial intelligence (AI), high-throughput, biomedical nanomaterials, nanomaterials design

Cite this article:

Zhu X, Li Y, Gu N. Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials. Nano Biomedicine and Engineering, 2023, 15(3): 342-353. https://doi.org/10.26599/NBE.2023.9290035

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Abstract Full text About this article

Abstract

Nanomaterials play a crucial role in the biomedical field, and with the rise of the digital era, artificial intelligence (AI) has become a valuable tool in all stages of nanomaterial development, spanning from design to synthesis and characterization. In this review, we explore recent advancements in the field of AI-driven nanomaterials. Firstly, we delve into how AI can be leveraged in material design, utilizing vast databases to develop new materials. Secondly, we discuss intelligent synthesis, where AI algorithms are employed to optimize the synthesis process. Subsequently, we explore how to efficiently extract depth information from nanomaterial characterization results using AI-based methods. Lastly, we offer a glimpse into the future of biomedical nanomaterials, highlighting the potential impact of AI in this rapidly evolving field.

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About this article

Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials

Show Author's information Hide Author's Information Xiaoyang Zhu^¹, Yan Li^¹(

), Ning Gu^²(

)

1State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, China

2Medical School, Nanjing University, Nanjing 210093, China

Abstract

Keywords: machine learning, artificial intelligence (AI), high-throughput, biomedical nanomaterials, nanomaterials design

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Publication history

Acknowledgements

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Publication history

Received: 30 July 2023

Revised: 24 August 2023

Accepted: 28 August 2023

Published: 12 October 2023

Issue date: September 2023

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Acknowledgements

This work was financially funded by the National Natural Science Foundation of China (51832001, 61821002), the Natural Science Foundation of Jiangsu Province (BK20222002) and the Nanjing Science and Technology Development Foundation (202205066).

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This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY) (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.