Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]

Shohreh Nourinovin; Miguel Navarro-Cia; Muhammad M. Rahman; Michael P. Philpott; Qammer H. Abbasi; Akram Alomainy

doi:10.1109/MAP.2022.3145712

Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]

Shohreh Nourinovin
, Miguel Navarro-Cia
, Muhammad M. Rahman
, Michael P. Philpott
, Qammer H. Abbasi
, Akram Alomainy

Queen Mary University of London
University of Birmingham
University of Glasgow

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

14 Scopus citations

Abstract

According to a recent report [1] from the Cancer Research Agency of the World Health Organization, cancer is a dominant cause of mortality worldwide, leading to 10 million deaths in 2020 alone. Diagnosing a patient from the early stages tremendously raises the chance of survival. Current clinical cancer detection approaches including X-ray, magnetic resonance imaging (MRI), and biomarker analysis not only fail to provide a precise border of the malignant tissue, especially in the early stages of cancer, but also can be invasive and lead to tissue damage. Recent progress in EM biosensor technologies has the potential to deliver a point-of-care diagnosis and surpass conventional methods regarding accuracy, time, and cost.

Original language	English
Pages (from-to)	60-70
Number of pages	11
Journal	IEEE Antennas and Propagation Magazine
Volume	64
Issue number	2
DOIs	https://doi.org/10.1109/MAP.2022.3145712
State	Published - 1 Apr 2022
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/MAP.2022.3145712

Cite this

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title = "Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]",

abstract = "According to a recent report [1] from the Cancer Research Agency of the World Health Organization, cancer is a dominant cause of mortality worldwide, leading to 10 million deaths in 2020 alone. Diagnosing a patient from the early stages tremendously raises the chance of survival. Current clinical cancer detection approaches including X-ray, magnetic resonance imaging (MRI), and biomarker analysis not only fail to provide a precise border of the malignant tissue, especially in the early stages of cancer, but also can be invasive and lead to tissue damage. Recent progress in EM biosensor technologies has the potential to deliver a point-of-care diagnosis and surpass conventional methods regarding accuracy, time, and cost.",

author = "Shohreh Nourinovin and Miguel Navarro-Cia and Rahman, \{Muhammad M.\} and Philpott, \{Michael P.\} and Abbasi, \{Qammer H.\} and Akram Alomainy",

note = "Publisher Copyright: {\textcopyright} 1990-2011 IEEE.",

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doi = "10.1109/MAP.2022.3145712",

language = "English",

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AU - Nourinovin, Shohreh

AU - Navarro-Cia, Miguel

AU - Rahman, Muhammad M.

AU - Philpott, Michael P.

AU - Abbasi, Qammer H.

AU - Alomainy, Akram

PY - 2022/4/1

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AB - According to a recent report [1] from the Cancer Research Agency of the World Health Organization, cancer is a dominant cause of mortality worldwide, leading to 10 million deaths in 2020 alone. Diagnosing a patient from the early stages tremendously raises the chance of survival. Current clinical cancer detection approaches including X-ray, magnetic resonance imaging (MRI), and biomarker analysis not only fail to provide a precise border of the malignant tissue, especially in the early stages of cancer, but also can be invasive and lead to tissue damage. Recent progress in EM biosensor technologies has the potential to deliver a point-of-care diagnosis and surpass conventional methods regarding accuracy, time, and cost.

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M3 - Article

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JO - IEEE Antennas and Propagation Magazine

JF - IEEE Antennas and Propagation Magazine

IS - 2

ER -

Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]

Abstract

UN SDGs

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