Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology
The integration of artificial intelligence (AI) with nanoparticle technology represents a transformative approach in precision oncology, particularly in the development of targeted anticancer drug delivery systems. In our study, we found out that the application of AI in the field of drug delivery e...
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Language: | English |
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AIMS Press
2024-12-01
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Series: | AIMS Bioengineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/bioeng.2024026 |
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author | Mujibullah Sheikh Pranita S. Jirvankar |
author_facet | Mujibullah Sheikh Pranita S. Jirvankar |
author_sort | Mujibullah Sheikh |
collection | DOAJ |
description | The integration of artificial intelligence (AI) with nanoparticle technology represents a transformative approach in precision oncology, particularly in the development of targeted anticancer drug delivery systems. In our study, we found out that the application of AI in the field of drug delivery enhances the value of nanoparticles in increasing the efficiency of drug delivery and decreasing side effects from specifically targeted mechanisms. Moreover, we considered urgent issues that exist in present-day nanoparticle fabrication such as scalability and regulatory issues and suggest AI solutions that would help overcome these issues. In the same manner, we focused on the utilization of AI in enhancing patient-centered treatment through the establishment of drug delivery systems that will complement the genetic and molecular makeup of patients. Additionally, we present evidence suggesting that AI-designed nanoparticles have the potential to be environmentally sustainable alternatives in cancer therapy. AI is presented as capable of creating synergies with bioengineering methods like CRISPR or gene therapy and able to show potential directions for enhancing the efficiency of nanoparticle-based cancer therapies. In implementing these findings, we systematically discuss and highlight ongoing work and potential development trends in AI-aided nanoparticle research, asserting that it has the potential to greatly enhance oncology therapy. |
format | Article |
id | doaj-art-bb0249154a624e4aa2be4dafa21c2603 |
institution | Kabale University |
issn | 2375-1495 |
language | English |
publishDate | 2024-12-01 |
publisher | AIMS Press |
record_format | Article |
series | AIMS Bioengineering |
spelling | doaj-art-bb0249154a624e4aa2be4dafa21c26032025-01-24T01:27:36ZengAIMS PressAIMS Bioengineering2375-14952024-12-0111457459710.3934/bioeng.2024026Harnessing artificial intelligence for enhanced nanoparticle design in precision oncologyMujibullah Sheikh0Pranita S. Jirvankar1Datta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, IndiaDatta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, IndiaThe integration of artificial intelligence (AI) with nanoparticle technology represents a transformative approach in precision oncology, particularly in the development of targeted anticancer drug delivery systems. In our study, we found out that the application of AI in the field of drug delivery enhances the value of nanoparticles in increasing the efficiency of drug delivery and decreasing side effects from specifically targeted mechanisms. Moreover, we considered urgent issues that exist in present-day nanoparticle fabrication such as scalability and regulatory issues and suggest AI solutions that would help overcome these issues. In the same manner, we focused on the utilization of AI in enhancing patient-centered treatment through the establishment of drug delivery systems that will complement the genetic and molecular makeup of patients. Additionally, we present evidence suggesting that AI-designed nanoparticles have the potential to be environmentally sustainable alternatives in cancer therapy. AI is presented as capable of creating synergies with bioengineering methods like CRISPR or gene therapy and able to show potential directions for enhancing the efficiency of nanoparticle-based cancer therapies. In implementing these findings, we systematically discuss and highlight ongoing work and potential development trends in AI-aided nanoparticle research, asserting that it has the potential to greatly enhance oncology therapy.https://www.aimspress.com/article/doi/10.3934/bioeng.2024026artificial intelligence (ai)nanoparticle designprecision oncologytargeted drug deliverybiomarker-specific nanoparticlespersonalized medicine |
spellingShingle | Mujibullah Sheikh Pranita S. Jirvankar Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology AIMS Bioengineering artificial intelligence (ai) nanoparticle design precision oncology targeted drug delivery biomarker-specific nanoparticles personalized medicine |
title | Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
title_full | Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
title_fullStr | Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
title_full_unstemmed | Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
title_short | Harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
title_sort | harnessing artificial intelligence for enhanced nanoparticle design in precision oncology |
topic | artificial intelligence (ai) nanoparticle design precision oncology targeted drug delivery biomarker-specific nanoparticles personalized medicine |
url | https://www.aimspress.com/article/doi/10.3934/bioeng.2024026 |
work_keys_str_mv | AT mujibullahsheikh harnessingartificialintelligenceforenhancednanoparticledesigninprecisiononcology AT pranitasjirvankar harnessingartificialintelligenceforenhancednanoparticledesigninprecisiononcology |