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The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications

Mobile health technologies to detect physiological and simple-analyte biomarkers have been explored for the improvement and cost-reduction of healthcare services, some of which have been endorsed by the US FDA. Advancements in the investigations of non-invasive and minimally-invasive molecular bioma...

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Autores principales: Qin, Chu, Tao, Lin, Phang, Yik Hui, Zhang, Cheng, Chen, Shang Ying, Zhang, Peng, Tan, Ying, Jiang, Yu Yang, Chen, Yu Zong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672303/
https://www.ncbi.nlm.nih.gov/pubmed/26644316
http://dx.doi.org/10.1038/srep17854
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author Qin, Chu
Tao, Lin
Phang, Yik Hui
Zhang, Cheng
Chen, Shang Ying
Zhang, Peng
Tan, Ying
Jiang, Yu Yang
Chen, Yu Zong
author_facet Qin, Chu
Tao, Lin
Phang, Yik Hui
Zhang, Cheng
Chen, Shang Ying
Zhang, Peng
Tan, Ying
Jiang, Yu Yang
Chen, Yu Zong
author_sort Qin, Chu
collection PubMed
description Mobile health technologies to detect physiological and simple-analyte biomarkers have been explored for the improvement and cost-reduction of healthcare services, some of which have been endorsed by the US FDA. Advancements in the investigations of non-invasive and minimally-invasive molecular biomarkers and biomarker candidates and the development of portable biomarker detection technologies have fuelled great interests in these new technologies for mhealth applications. But apart from the development of more portable biomarker detection technologies, key questions need to be answered and resolved regarding to the relevance, coverage, and performance of these technologies and the big data management issues arising from their wide spread applications. In this work, we analyzed the newly emerging portable biomarker detection technologies, the 664 non-invasive molecular biomarkers and the 592 potential minimally-invasive blood molecular biomarkers, focusing on their detection capability, affordability, relevance, and coverage. Our analysis suggests that a substantial percentage of these biomarkers together with the new technologies can be potentially used for a variety of disease conditions in mhealth applications. We further propose a new strategy for reducing the workload in the processing and analysis of the big data arising from widespread use of mhealth products, and discuss potential issues of implementing this strategy.
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spelling pubmed-46723032015-12-11 The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications Qin, Chu Tao, Lin Phang, Yik Hui Zhang, Cheng Chen, Shang Ying Zhang, Peng Tan, Ying Jiang, Yu Yang Chen, Yu Zong Sci Rep Article Mobile health technologies to detect physiological and simple-analyte biomarkers have been explored for the improvement and cost-reduction of healthcare services, some of which have been endorsed by the US FDA. Advancements in the investigations of non-invasive and minimally-invasive molecular biomarkers and biomarker candidates and the development of portable biomarker detection technologies have fuelled great interests in these new technologies for mhealth applications. But apart from the development of more portable biomarker detection technologies, key questions need to be answered and resolved regarding to the relevance, coverage, and performance of these technologies and the big data management issues arising from their wide spread applications. In this work, we analyzed the newly emerging portable biomarker detection technologies, the 664 non-invasive molecular biomarkers and the 592 potential minimally-invasive blood molecular biomarkers, focusing on their detection capability, affordability, relevance, and coverage. Our analysis suggests that a substantial percentage of these biomarkers together with the new technologies can be potentially used for a variety of disease conditions in mhealth applications. We further propose a new strategy for reducing the workload in the processing and analysis of the big data arising from widespread use of mhealth products, and discuss potential issues of implementing this strategy. Nature Publishing Group 2015-12-08 /pmc/articles/PMC4672303/ /pubmed/26644316 http://dx.doi.org/10.1038/srep17854 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Qin, Chu
Tao, Lin
Phang, Yik Hui
Zhang, Cheng
Chen, Shang Ying
Zhang, Peng
Tan, Ying
Jiang, Yu Yang
Chen, Yu Zong
The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title_full The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title_fullStr The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title_full_unstemmed The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title_short The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications
title_sort assessment of the readiness of molecular biomarker-based mobile health technologies for healthcare applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672303/
https://www.ncbi.nlm.nih.gov/pubmed/26644316
http://dx.doi.org/10.1038/srep17854
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