Cargando…

Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases

On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of c...

Descripción completa

Detalles Bibliográficos
Autores principales: Jain, Shikha, Nehra, Monika, Kumar, Rajesh, Dilbaghi, Neeraj, Hu, TonyY., Kumar, Sandeep, Kaushik, Ajeet, Li, Chen-zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866895/
https://www.ncbi.nlm.nih.gov/pubmed/33596516
http://dx.doi.org/10.1016/j.bios.2021.113074
_version_ 1783648179640598528
author Jain, Shikha
Nehra, Monika
Kumar, Rajesh
Dilbaghi, Neeraj
Hu, TonyY.
Kumar, Sandeep
Kaushik, Ajeet
Li, Chen-zhong
author_facet Jain, Shikha
Nehra, Monika
Kumar, Rajesh
Dilbaghi, Neeraj
Hu, TonyY.
Kumar, Sandeep
Kaushik, Ajeet
Li, Chen-zhong
author_sort Jain, Shikha
collection PubMed
description On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of conventional diagnostic tools in terms of time consuming and complex laboratory-based diagnosis process is a major challenge to medical care. In present era, the development of point-of-care testing (POCT) is in demand for fast detection of infectious diseases along with “on-site” results that are helpful in timely and early action for better treatment. In addition, POCT devices also play a crucial role in preventing the transmission of infectious diseases by offering real-time testing and lab quality microbial diagnosis within minutes. Timely diagnosis and further treatment optimization facilitate the containment of outbreaks of infectious diseases. Presently, efforts are being made to support such POCT by the technological development in the field of internet of medical things (IoMT). The IoMT offers wireless-based operation and connectivity of POCT devices with health expert and medical centre. In this review, the recently developed POC diagnostics integrated or future possibilities of integration with IoMT are discussed with focus on emerging and re-emerging infectious diseases like malaria, dengue fever, influenza A (H1N1), human papilloma virus (HPV), Ebola virus disease (EVD), Zika virus (ZIKV), and coronavirus (COVID-19). The IoMT-assisted POCT systems are capable enough to fill the gap between bioinformatics generation, big rapid analytics, and clinical validation. An optimized IoMT-assisted POCT will be useful in understanding the diseases progression, treatment decision, and evaluation of efficacy of prescribed therapy.
format Online
Article
Text
id pubmed-7866895
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-78668952021-02-09 Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases Jain, Shikha Nehra, Monika Kumar, Rajesh Dilbaghi, Neeraj Hu, TonyY. Kumar, Sandeep Kaushik, Ajeet Li, Chen-zhong Biosens Bioelectron Article On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of conventional diagnostic tools in terms of time consuming and complex laboratory-based diagnosis process is a major challenge to medical care. In present era, the development of point-of-care testing (POCT) is in demand for fast detection of infectious diseases along with “on-site” results that are helpful in timely and early action for better treatment. In addition, POCT devices also play a crucial role in preventing the transmission of infectious diseases by offering real-time testing and lab quality microbial diagnosis within minutes. Timely diagnosis and further treatment optimization facilitate the containment of outbreaks of infectious diseases. Presently, efforts are being made to support such POCT by the technological development in the field of internet of medical things (IoMT). The IoMT offers wireless-based operation and connectivity of POCT devices with health expert and medical centre. In this review, the recently developed POC diagnostics integrated or future possibilities of integration with IoMT are discussed with focus on emerging and re-emerging infectious diseases like malaria, dengue fever, influenza A (H1N1), human papilloma virus (HPV), Ebola virus disease (EVD), Zika virus (ZIKV), and coronavirus (COVID-19). The IoMT-assisted POCT systems are capable enough to fill the gap between bioinformatics generation, big rapid analytics, and clinical validation. An optimized IoMT-assisted POCT will be useful in understanding the diseases progression, treatment decision, and evaluation of efficacy of prescribed therapy. Elsevier B.V. 2021-05-01 2021-02-06 /pmc/articles/PMC7866895/ /pubmed/33596516 http://dx.doi.org/10.1016/j.bios.2021.113074 Text en © 2021 Elsevier B.V. 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
Jain, Shikha
Nehra, Monika
Kumar, Rajesh
Dilbaghi, Neeraj
Hu, TonyY.
Kumar, Sandeep
Kaushik, Ajeet
Li, Chen-zhong
Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title_full Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title_fullStr Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title_full_unstemmed Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title_short Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
title_sort internet of medical things (iomt)-integrated biosensors for point-of-care testing of infectious diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866895/
https://www.ncbi.nlm.nih.gov/pubmed/33596516
http://dx.doi.org/10.1016/j.bios.2021.113074
work_keys_str_mv AT jainshikha internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT nehramonika internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT kumarrajesh internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT dilbaghineeraj internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT hutonyy internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT kumarsandeep internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT kaushikajeet internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases
AT lichenzhong internetofmedicalthingsiomtintegratedbiosensorsforpointofcaretestingofinfectiousdiseases