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Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management

Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluat...

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Autores principales: Mujawar, M.A., Gohel, H., Bhardwaj, S.K., Srinivasan, S., Hickman, N., Kaushik, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274574/
https://www.ncbi.nlm.nih.gov/pubmed/32835155
http://dx.doi.org/10.1016/j.mtchem.2020.100306
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author Mujawar, M.A.
Gohel, H.
Bhardwaj, S.K.
Srinivasan, S.
Hickman, N.
Kaushik, A.
author_facet Mujawar, M.A.
Gohel, H.
Bhardwaj, S.K.
Srinivasan, S.
Hickman, N.
Kaushik, A.
author_sort Mujawar, M.A.
collection PubMed
description Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluate the progression of disease under therapy. Such collected bioinformatics and its multi-aspects-oriented analytics is in demand to explore the effectiveness of a prescribed treatment, optimize therapy, and correlate biomarker level with disease pathogenesis. Owing to nanotechnology-enabled advancements in sensing unit fabrication, device integration, interfacing, packaging, and sensing performance at point-of-care (POC) has rendered diagnostics according to the requirements of disease management and patient disease profile i.e. in a personalized manner. Efforts are continuously being made to promote the state of art biosensing technology as a next-generation non-invasive disease diagnostics methodology. Keeping this in view, this progressive opinion article describes personalized health care management related analytical tools which can provide access to better health for everyone, with overreaching aim to manage healthy tomorrow timely. Considering accomplishments and predictions, such affordable intelligent diagnostics tools are urgently required to manage COVID-19 pandemic, a life-threatening respiratory infectious disease, where a rapid, selective and sensitive detection of human beta severe acute respiratory system coronavirus (SARS-COoV-2) protein is the key factor.
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spelling pubmed-72745742020-06-08 Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management Mujawar, M.A. Gohel, H. Bhardwaj, S.K. Srinivasan, S. Hickman, N. Kaushik, A. Mater Today Chem Article Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluate the progression of disease under therapy. Such collected bioinformatics and its multi-aspects-oriented analytics is in demand to explore the effectiveness of a prescribed treatment, optimize therapy, and correlate biomarker level with disease pathogenesis. Owing to nanotechnology-enabled advancements in sensing unit fabrication, device integration, interfacing, packaging, and sensing performance at point-of-care (POC) has rendered diagnostics according to the requirements of disease management and patient disease profile i.e. in a personalized manner. Efforts are continuously being made to promote the state of art biosensing technology as a next-generation non-invasive disease diagnostics methodology. Keeping this in view, this progressive opinion article describes personalized health care management related analytical tools which can provide access to better health for everyone, with overreaching aim to manage healthy tomorrow timely. Considering accomplishments and predictions, such affordable intelligent diagnostics tools are urgently required to manage COVID-19 pandemic, a life-threatening respiratory infectious disease, where a rapid, selective and sensitive detection of human beta severe acute respiratory system coronavirus (SARS-COoV-2) protein is the key factor. Elsevier Ltd. 2020-09 2020-06-05 /pmc/articles/PMC7274574/ /pubmed/32835155 http://dx.doi.org/10.1016/j.mtchem.2020.100306 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Mujawar, M.A.
Gohel, H.
Bhardwaj, S.K.
Srinivasan, S.
Hickman, N.
Kaushik, A.
Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title_full Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title_fullStr Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title_full_unstemmed Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title_short Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
title_sort nano-enabled biosensing systems for intelligent healthcare: towards covid-19 management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274574/
https://www.ncbi.nlm.nih.gov/pubmed/32835155
http://dx.doi.org/10.1016/j.mtchem.2020.100306
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