Advanced Drug Delivery Reviews, volume 184, pages 114194

Artificial intelligence to bring nanomedicine to life

Serov Nikita Yu. ¹

Vinogradov Vladimir ²

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International Institute "Solution Chemistry of Advanced Materials and Technologies", ITMO University, Saint-Petersburg 191002, Russian Federation. |

International Institute "Solution Chemistry of Advanced Materials and Technologies", ITMO University, Saint-Petersburg 191002, Russian Federation. Electronic address: vinogradov@scamt-itmo.ru. |

Publication type: Journal Article

Publication date: 2022-05-01

Elsevier

Journal: Advanced Drug Delivery Reviews

Quartile SCImago

Quartile WOS

Impact factor: 16.1

ISSN: 0169409X, 18728294

DOI: 10.1016/j.addr.2022.114194

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Pharmaceutical Science

Abstract

The technology of drug delivery systems (DDSs) has demonstrated an outstanding performance and effectiveness in production of pharmaceuticals, as it is proved by many FDA-approved nanomedicines that have an enhanced selectivity, manageable drug release kinetics and synergistic therapeutic actions. Nonetheless, to date, the rational design and high-throughput development of nanomaterial-based DDSs for specific purposes is far from a routine practice and is still in its infancy, mainly due to the limitations in scientists' capabilities to effectively acquire, analyze, manage, and comprehend complex and ever-growing sets of experimental data, which is vital to develop DDSs with a set of desired functionalities. At the same time, this task is feasible for the data-driven approaches, high throughput experimentation techniques, process automatization, artificial intelligence (AI) technology, and machine learning (ML) approaches, which is referred to as The Fourth Paradigm of scientific research. Therefore, an integration of these approaches with nanomedicine and nanotechnology can potentially accelerate the rational design and high-throughput development of highly efficient nanoformulated drugs and smart materials with pre-defined functionalities. In this Review, we survey the important results and milestones achieved to date in the application of data science, high throughput, as well as automatization approaches, combined with AI and ML to design and optimize DDSs and related nanomaterials. This manuscript mission is not only to reflect the state-of-art in data-driven nanomedicine, but also show how recent findings in the related fields can transform the nanomedicine's image. We discuss how all these results can be used to boost nanomedicine translation to the clinic, as well as highlight the future directions for the development, data-driven, high throughput experimentation-, and AI-assisted design, as well as the production of nanoformulated drugs and smart materials with pre-defined properties and behavior. This Review will be of high interest to the chemists involved in materials science, nanotechnology, and DDSs development for biomedical applications, although the general nature of the presented approaches enables knowledge translation to many other fields of science.

By date By citations

Citations by journals

	1 2 3 4 5
Advanced Drug Delivery Reviews	Advanced Drug Delivery Reviews, 5, 12.82% Advanced Drug Delivery Reviews 5 publications, 12.82%
Advanced Materials	Advanced Materials, 3, 7.69% Advanced Materials 3 publications, 7.69%
Advanced healthcare materials	Advanced healthcare materials, 2, 5.13% Advanced healthcare materials 2 publications, 5.13%
Small	Small, 1, 2.56% Small 1 publication, 2.56%
Molecules	Molecules, 1, 2.56% Molecules 1 publication, 2.56%
Future Internet	Future Internet, 1, 2.56% Future Internet 1 publication, 2.56%
Nature Materials	Nature Materials, 1, 2.56% Nature Materials 1 publication, 2.56%
Seminars in Cancer Biology	Seminars in Cancer Biology, 1, 2.56% Seminars in Cancer Biology 1 publication, 2.56%
Pharmacological Research	Pharmacological Research, 1, 2.56% Pharmacological Research 1 publication, 2.56%
ACS Applied Nano Materials	ACS Applied Nano Materials, 1, 2.56% ACS Applied Nano Materials 1 publication, 2.56%
Expert Opinion on Drug Delivery	Expert Opinion on Drug Delivery, 1, 2.56% Expert Opinion on Drug Delivery 1 publication, 2.56%
Journal of Environmental and Public Health	Journal of Environmental and Public Health, 1, 2.56% Journal of Environmental and Public Health 1 publication, 2.56%
Chemical Reviews	Chemical Reviews, 1, 2.56% Chemical Reviews 1 publication, 2.56%
npj Computational Materials	npj Computational Materials, 1, 2.56% npj Computational Materials 1 publication, 2.56%
Molecular Pharmaceutics	Molecular Pharmaceutics, 1, 2.56% Molecular Pharmaceutics 1 publication, 2.56%
MedComm	MedComm, 1, 2.56% MedComm 1 publication, 2.56%
Signal Transduction and Targeted Therapy	Signal Transduction and Targeted Therapy, 1, 2.56% Signal Transduction and Targeted Therapy 1 publication, 2.56%
Journal of Pharmaceutical Sciences	Journal of Pharmaceutical Sciences, 1, 2.56% Journal of Pharmaceutical Sciences 1 publication, 2.56%
ACS Applied Bio Materials	ACS Applied Bio Materials, 1, 2.56% ACS Applied Bio Materials 1 publication, 2.56%
Pharmaceuticals	Pharmaceuticals, 1, 2.56% Pharmaceuticals 1 publication, 2.56%
Journal of Pharmaceutical Investigation	Journal of Pharmaceutical Investigation, 1, 2.56% Journal of Pharmaceutical Investigation 1 publication, 2.56%
Journal of Drug Delivery Science and Technology	Journal of Drug Delivery Science and Technology, 1, 2.56% Journal of Drug Delivery Science and Technology 1 publication, 2.56%
Chemical Communications	Chemical Communications, 1, 2.56% Chemical Communications 1 publication, 2.56%
Advanced Functional Materials	Advanced Functional Materials, 1, 2.56% Advanced Functional Materials 1 publication, 2.56%
Exploration	Exploration, 1, 2.56% Exploration 1 publication, 2.56%
Nature Reviews Bioengineering	Nature Reviews Bioengineering, 1, 2.56% Nature Reviews Bioengineering 1 publication, 2.56%
Journal of Molecular Liquids	Journal of Molecular Liquids, 1, 2.56% Journal of Molecular Liquids 1 publication, 2.56%
Cancer Nanotechnology	Cancer Nanotechnology, 1, 2.56% Cancer Nanotechnology 1 publication, 2.56%
Smart Medicine	Smart Medicine, 1, 2.56% Smart Medicine 1 publication, 2.56%

	1 2 3 4 5

Citations by publishers

	2 4 6 8 10
Wiley	Wiley, 10, 25.64% Wiley 10 publications, 25.64%
Elsevier	Elsevier, 10, 25.64% Elsevier 10 publications, 25.64%
Springer Nature	Springer Nature, 6, 15.38% Springer Nature 6 publications, 15.38%
American Chemical Society (ACS)	American Chemical Society (ACS), 5, 12.82% American Chemical Society (ACS) 5 publications, 12.82%
Multidisciplinary Digital Publishing Institute (MDPI)	Multidisciplinary Digital Publishing Institute (MDPI), 3, 7.69% Multidisciplinary Digital Publishing Institute (MDPI) 3 publications, 7.69%
Taylor & Francis	Taylor & Francis, 1, 2.56% Taylor & Francis 1 publication, 2.56%
Hindawi Limited	Hindawi Limited, 1, 2.56% Hindawi Limited 1 publication, 2.56%
Royal Society of Chemistry (RSC)	Royal Society of Chemistry (RSC), 1, 2.56% Royal Society of Chemistry (RSC) 1 publication, 2.56%
	2 4 6 8 10

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Serov N. Y., Vinogradov V. Artificial intelligence to bring nanomedicine to life // Advanced Drug Delivery Reviews. 2022. Vol. 184. p. 114194.

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Serov N. Y., Vinogradov V. Artificial intelligence to bring nanomedicine to life // Advanced Drug Delivery Reviews. 2022. Vol. 184. p. 114194.

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RIS Copy

TY - JOUR

DO - 10.1016/j.addr.2022.114194

UR - https://doi.org/10.1016%2Fj.addr.2022.114194

TI - Artificial intelligence to bring nanomedicine to life

T2 - Advanced Drug Delivery Reviews

AU - Serov, Nikita Yu.

AU - Vinogradov, Vladimir

PY - 2022

DA - 2022/05/01 00:00:00

PB - Elsevier

SP - 114194

VL - 184

SN - 0169-409X

SN - 1872-8294

ER -

BibTex

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BibTex Copy

@article{2022_Serov,

author = {Nikita Yu. Serov and Vladimir Vinogradov},

title = {Artificial intelligence to bring nanomedicine to life},

journal = {Advanced Drug Delivery Reviews},

year = {2022},

volume = {184},

publisher = {Elsevier},

month = {may},

url = {https://doi.org/10.1016%2Fj.addr.2022.114194},

pages = {114194},

doi = {10.1016/j.addr.2022.114194}

}

Found error?

Publisher

Elsevier

Journal

Advanced Drug Delivery Reviews

Quartile SCImago

Quartile WOS

Impact factor

16.1

ISSN

0169409X (Print)
18728294 (Electronic)

Labs

Center for Artificial Intelligence in Chemistry

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