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Published on 31 July 2024
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Wu,X. (2024). Analysis of cancer detection methods based on nanomaterials. Applied and Computational Engineering,85,95-100.
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Analysis of cancer detection methods based on nanomaterials

Xiaoling Wu *,1,
  • 1 Zhuhai College of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/85/20240799

Abstract

This research discusses the application of nanomaterials in cancer detection and the comparison between various application methods, highlighting their high sensitivity and specificity in the detection of cancer biomarkers. Nanomaterials have the ability to selectively target and bind specific molecules, resulting in improved detection accuracy. They also facilitate the simultaneous detection of multiple biomarkers and enable non-invasive tumor visualization by various imaging methods. Despite the many advantages, there are still many challenges related to safety considerations and optimization of detection techniques that need to be addressed urgently. Nonetheless, the nanomaterials-based approach holds significant promise for improving cancer detection technology and improving early diagnosis. Further research is essential in order to fully exploit the power of nanomaterials in accurate and efficient cancer detection. By addressing these challenges, difficulties, and conducting additional research, nanomaterials have the potential to revolutionize cancer detection, resulting in improved results accuracy, earlier detection of disease, and better treatment for the benefit of humanity.

Keywords

Nanomaterials, Cancer Detection, Multiple Biomarkers.

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Cite this article

Wu,X. (2024). Analysis of cancer detection methods based on nanomaterials. Applied and Computational Engineering,85,95-100.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Materials Chemistry and Environmental Engineering

Conference website: https://www.confmcee.org/
ISBN:978-1-83558-575-7(Print) / 978-1-83558-576-4(Online)
Conference date: 13 January 2024
Editor:Seyed Ghaffar
Series: Applied and Computational Engineering
Volume number: Vol.85
ISSN:2755-2721(Print) / 2755-273X(Online)

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