Eurasian Journal of Science and Technology

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AI-enabled Diagnostics and Monitoring in Nanomedicine

Articles in Press

Document Type : Review Article

Authors

1 Department of Anatomy, Ebonyi State University, Abakaliki, Nigeria

2 Department of Microbiology, Federal University of Technology Owerri, Imo State, , Nigeria

3 Department of Chemical Sciences, Federal University Wukari, Taraba State, Nigeria

4 Department of Biotechnology, Federal University of Technology Owerri, Nigeria

Abstract

This review article explores the transformative impact of AI in the field of nanomedicine, specifically focusing on AI-enabled diagnostics and monitoring. Nanomedicine has emerged as a promising approach for improving medical imaging, drug delivery, diagnostics, and therapy, and AI has become a disruptive force that enhances the precision, efficiency, and personalization of healthcare solutions. We delve into the role of AI in designing and optimizing nanomaterials, drug delivery systems, and combinatorial nanomedicine administration. AI's potential to examine vast datasets, discover patterns and predict behaviour in biological systems is discussed. The paper also highlights the vital role of AI-driven nanosensors in the real-time monitoring of biomarkers within the human body. Interdisciplinary collaboration in healthcare is emphasized, as it is essential for addressing complex challenges and achieving global health goals. The article concludes by exploring how AI has revolutionized surgical planning, anatomical modelling, and virtual anatomy education in the context of nanomedicine. Overall, this review demonstrates the significant potential of AI-enabled diagnostics and monitoring in nanomedicine to revolutionize healthcare.

Keywords

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OPEN ACCESS

©2024 The author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit: http://creativecommons.org/licenses/by/4.0/

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Eurasian Journal of Science and Technology

Articles in Press, Accepted Manuscript
Available Online from 04 February 2024
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  • Receive Date: 28 November 2023
  • Revise Date: 02 January 2024
  • Accept Date: 23 January 2024
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