Emerging technologies in cancer detection

Zvi Yaari; Christopher P. Horoszko; Merav Antman-Passig; Mijin Kim; Daniel A. Heller; Freddy T. Nguyen

doi:10.1016/b978-0-12-824302-2.00011-4

Emerging technologies in cancer detection

Zvi Yaari, Christopher P. Horoszko, Merav Antman-Passig, Mijin Kim, Daniel A. Heller, Freddy T. Nguyen

School of Pharmacy

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Exciting, modern technologies for cancer detection are under development in academic and industrial laboratories worldwide. This chapter provides a synopsis of technologies reaching greater importance as they advance toward clinical practice. These methods include significant advances in current methods as well as fundamentally new platforms. We place a special emphasis on point-of-care technologies for use in clinical settings as well as novel methods for use as at-home measurements and wearable devices. We also provide a synopsis on the involvement of artificial intelligence-based data analytics such as machine learning algorithms in both existing and developing assessments.

Original language	English
Title of host publication	Cancer Biomarkers
Subtitle of host publication	Clinical Aspects and Laboratory Determination
Publisher	Elsevier
Pages	353-392
Number of pages	40
ISBN (Electronic)	9780128243022
ISBN (Print)	9780128243039
DOIs	https://doi.org/10.1016/b978-0-12-824302-2.00011-4
State	Published - 1 Jan 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Inc. All rights reserved.

Keywords

Electrochemistry
artificial intelligence
biomarkers
diagnostics
magnetic
mass spectrometry
mechanical assays
medical devices
point of care

UN SDGs

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

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10.1016/b978-0-12-824302-2.00011-4

Cite this

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KW - mass spectrometry

KW - mechanical assays

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KW - point of care

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Emerging technologies in cancer detection

Abstract

Bibliographical note

Keywords

UN SDGs

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