A mini-review on the application of machine learning in polymer nanogels for drug delivery

Oluwasegun Chijioke Adekoya; Moses Ebiowei Yibowei; Gbolahan Joseph Adekoya; Emmanuel Rotimi Sadiku; Yskandar Hamam; Suprakas Sinha Ray

doi:10.1016/j.matpr.2022.02.101

A mini-review on the application of machine learning in polymer nanogels for drug delivery

Oluwasegun Chijioke Adekoya, Moses Ebiowei Yibowei, Gbolahan Joseph Adekoya, Emmanuel Rotimi Sadiku, Yskandar Hamam, Suprakas Sinha Ray

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

The advent of nanotechnology has resulted in an exponential improvement in drug delivery systems. Special attention is drawn to the use of nanogels which are nanosized hydrogels as effective drug delivery polymeric materials. Nanogels are 3-dimensional polymeric chains with sizes ranging from 100 to 200 nm. Their non-toxicity, biocompatibility, and biodegradability make them well suited for this purpose. Emerging studies have shown that the use of machine learning (ML) can optimize the drug-carrying and delivery of nanogels. This review would identify the mechanisms of nanogel drug delivery, commonly used machine learning models, areas of possible application of machine learning as it concerns nanogel drug delivery, and limitations in the application of machine learning.

Original language	English
Pages (from-to)	S141-S144
Journal	Materials Today: Proceedings
Volume	62
DOIs	https://doi.org/10.1016/j.matpr.2022.02.101
Publication status	Published - Jan 2022
Externally published	Yes

Keywords

ANN
Drug
Hydrogel
Machine learning
Nanogels
Polymers

ASJC Scopus subject areas

General Materials Science

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10.1016/j.matpr.2022.02.101

Cite this

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title = "A mini-review on the application of machine learning in polymer nanogels for drug delivery",

abstract = "The advent of nanotechnology has resulted in an exponential improvement in drug delivery systems. Special attention is drawn to the use of nanogels which are nanosized hydrogels as effective drug delivery polymeric materials. Nanogels are 3-dimensional polymeric chains with sizes ranging from 100 to 200 nm. Their non-toxicity, biocompatibility, and biodegradability make them well suited for this purpose. Emerging studies have shown that the use of machine learning (ML) can optimize the drug-carrying and delivery of nanogels. This review would identify the mechanisms of nanogel drug delivery, commonly used machine learning models, areas of possible application of machine learning as it concerns nanogel drug delivery, and limitations in the application of machine learning.",

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AU - Sadiku, Emmanuel Rotimi

AU - Hamam, Yskandar

AU - Ray, Suprakas Sinha

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AB - The advent of nanotechnology has resulted in an exponential improvement in drug delivery systems. Special attention is drawn to the use of nanogels which are nanosized hydrogels as effective drug delivery polymeric materials. Nanogels are 3-dimensional polymeric chains with sizes ranging from 100 to 200 nm. Their non-toxicity, biocompatibility, and biodegradability make them well suited for this purpose. Emerging studies have shown that the use of machine learning (ML) can optimize the drug-carrying and delivery of nanogels. This review would identify the mechanisms of nanogel drug delivery, commonly used machine learning models, areas of possible application of machine learning as it concerns nanogel drug delivery, and limitations in the application of machine learning.

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A mini-review on the application of machine learning in polymer nanogels for drug delivery

Abstract

Keywords

ASJC Scopus subject areas

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