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Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
- Source :
- Biosensors and Bioelectronics, Biosensors & Bioelectronics
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- 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.
- Subjects :
- Internet of Things
HIV Infections
Intelligent healthcare
Biosensing Techniques
02 engineering and technology
Disease
medicine.disease_cause
01 natural sciences
Zika virus
Dengue
Pandemic
Electrochemistry
education.field_of_study
biology
Zika Virus Infection
Transmission (medicine)
Equipment Design
General Medicine
021001 nanoscience & nanotechnology
Point-of-Care Testing
Internet of medical things
Infectious diseases
Coronavirus Infections
0210 nano-technology
Biotechnology
medicine.medical_specialty
Point-of-care testing
Population
Biomedical Engineering
Biophysics
Communicable Diseases
Article
Orthomyxoviridae Infections
Artificial Intelligence
Influenza, Human
medicine
Animals
Humans
Intensive care medicine
education
Ebola virus
business.industry
010401 analytical chemistry
COVID-19
Outbreak
Hemorrhagic Fever, Ebola
biology.organism_classification
Malaria
0104 chemical sciences
Point-of-care-testing
business
Biosensor
Subjects
Details
- Language :
- English
- ISSN :
- 09565663
- Database :
- OpenAIRE
- Journal :
- Biosensors and Bioelectronics
- Accession number :
- edsair.doi.dedup.....3d320149e6c5e9cbe94f772d1a1982bf
- Full Text :
- https://doi.org/10.1016/j.bios.2021.113074