LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 20

Search options

  1. Article ; Online: Efficacy of Repeated Low-Level Red Light (RLRL) therapy on myopia outcomes in children: a systematic review and meta-analysis.

    Youssef, Mohamed Ashraf / Shehata, Ahmed Ragab / Adly, Ahmed Moataz / Ahmed, Mohamed Ragab / Abo-Bakr, Hoda Fahmy / Fawzy, Rehab Mahmoud / Gouda, Ahmed Taha

    BMC ophthalmology

    2024  Volume 24, Issue 1, Page(s) 78

    Abstract: Background: Myopia is the most prevalent form of refractive error that has a major negative impact on visual function and causes blurring of vision. We aimed to determine if Repeated Low-Level Red Light (RLRL) treatment is beneficial in treating ... ...

    Abstract Background: Myopia is the most prevalent form of refractive error that has a major negative impact on visual function and causes blurring of vision. We aimed to determine if Repeated Low-Level Red Light (RLRL) treatment is beneficial in treating childhood myopia in terms of axial length (AL), spherical equivalent refraction (SER), and sub foveal choroidal thickness (SFCT).
    Methods: This systematic review was performed on RLRL for treatment of myopia in children compared to single vision spectacles (SVS). We employed the search strategy with key terms myopia and low-level light therapy then we searched PubMed, Scopus, Cochrane, and Web of Science databases. The mean differences (MD) were used to evaluate the treatment effects. Heterogeneity was quantified using I
    Results: Five randomized controlled trials (RCTs) were included in our meta-analysis with a total of 833 patients, 407 in treatment group and 426 in control group. At a 3 month follow up period, pooled studies show a statistical difference in AL between RLRL and SVS group (MD = -0.16; 95% CI [-0.19, -0.12], SER (MD = 0.33; 95% CI [0.27, 0.38]), and SFCT (MD = 43.65; 95% CI [23.72, 45.58]). At a 6 month follow up period, pooled studies show a statistical difference in AL between RLRL and SVS group (MD = -0.21; 95% CI [-0.28, -0.15]), SER (MD = 0.46; 95% CI [0.26, 0.65]), and SFCT (MD = 25.07; 95% CI [18.18, 31.95]). At a 12 month follow up period, pooled studies show a statistical difference in AL between RLRL and SVS group (MD = -0.31; 95% CI [-0.42, -0.19]) and SER (MD = 0.63; 95% CI [0.52, 0.73]).
    Conclusion: This is the first systematic review and meta-analysis investigating only RCTs evidence supporting the efficacy of 650 nm RLRL for myopia control in the short term of 3, 6, and 12 months follow up. The present review revealed the clinical significance of RLRL as a new alternative treatment for myopia control with good user acceptability and no documented functional or structural damage. However, the effect of long-term RLRL treatment and the rebound effect after cessation require further investigations.
    MeSH term(s) Child ; Humans ; Red Light ; Myopia/therapy ; Refractive Errors ; Refraction, Ocular
    Language English
    Publishing date 2024-02-20
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2050436-6
    ISSN 1471-2415 ; 1471-2415
    ISSN (online) 1471-2415
    ISSN 1471-2415
    DOI 10.1186/s12886-024-03337-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture.

    Al Mashhadany, Yousif / Alsanad, Hamid R / Al-Askari, Mohanad A / Algburi, Sameer / Taha, Bakr Ahmed

    Environmental monitoring and assessment

    2024  Volume 196, Issue 5, Page(s) 438

    Abstract: Advanced sensor technology, especially those that incorporate artificial intelligence (AI), has been recognized as increasingly important in various contemporary applications, including navigation, automation, water under imaging, environmental ... ...

    Abstract Advanced sensor technology, especially those that incorporate artificial intelligence (AI), has been recognized as increasingly important in various contemporary applications, including navigation, automation, water under imaging, environmental monitoring, and robotics. Data-driven decision-making and higher efficiency have enabled more excellent infrastructure thanks to integrating AI with sensors. The agricultural sector is one such area that has seen significant promise from this technology using the Internet of Things (IoT) capabilities. This paper describes an intelligent system for monitoring and analyzing agricultural environmental conditions, including weather, soil, and crop health, that uses internet-connected sensors and equipment. This work makes two significant contributions. It first makes it possible to use sensors linked to the IoT to accurately monitor the environment remotely. Gathering and analyzing data over time may give us valuable insights into daily fluctuations and long-term patterns. The second benefit of AI integration is the remote control; it provides for essential activities like irrigation, pest management, and disease detection. The technology can optimize water usage by tracking plant development and health and adjusting watering schedules accordingly. Intelligent Control Systems (Matlab/Simulink Ver. 2022b) use a hybrid controller that combines fuzzy logic with standard PID control to get high-efficiency performance from water pumps. In addition to monitoring crops, smart cameras allow farmers to make real-time adjustments based on soil moisture and plant needs. Potentially revolutionizing contemporary agriculture, this revolutionary approach might boost production, sustainability, and efficiency.
    MeSH term(s) Artificial Intelligence ; Internet of Things ; Cloud Computing ; Environmental Monitoring ; Agriculture ; Intelligence ; Soil ; Water ; Water Supply
    Chemical Substances Soil ; Water (059QF0KO0R)
    Language English
    Publishing date 2024-04-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-024-12606-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Photonics-powered augmented reality skin electronics for proactive healthcare: multifaceted opportunities.

    Taha, Bakr Ahmed / Addie, Ali J / Kadhim, Ahmed C / Azzahran, Ahmad S / Haider, Adawiya J / Chaudhary, Vishal / Arsad, Norhana

    Mikrochimica acta

    2024  Volume 191, Issue 5, Page(s) 250

    Abstract: Rapid technological advancements have created opportunities for new solutions in various industries, including healthcare. One exciting new direction in this field of innovation is the combination of skin-based technologies and augmented reality (AR). ... ...

    Abstract Rapid technological advancements have created opportunities for new solutions in various industries, including healthcare. One exciting new direction in this field of innovation is the combination of skin-based technologies and augmented reality (AR). These dermatological devices allow for the continuous and non-invasive measurement of vital signs and biomarkers, enabling the real-time diagnosis of anomalies, which have applications in telemedicine, oncology, dermatology, and early diagnostics. Despite its many potential benefits, there is a substantial information vacuum regarding using flexible photonics in conjunction with augmented reality for medical purposes. This review explores the current state of dermal augmented reality and flexible optics in skin-conforming sensing platforms by examining the obstacles faced thus far, including technical hurdles, demanding clinical validation standards, and problems with user acceptance. Our main areas of interest are skills, chiroptical properties, and health platform applications, such as optogenetic pixels, spectroscopic imagers, and optical biosensors. My skin-enhanced spherical dichroism and powerful spherically polarized light enable thorough physical inspection with these augmented reality devices: diabetic tracking, skin cancer diagnosis, and cardiovascular illness: preventative medicine, namely blood pressure screening. We demonstrate how to accomplish early prevention using case studies and emergency detection. Finally, it addresses real-world obstacles that hinder fully realizing these materials' extraordinary potential in advancing proactive and preventative personalized medicine, including technical constraints, clinical validation gaps, and barriers to widespread adoption.
    MeSH term(s) Augmented Reality ; Skin ; Precision Medicine ; Electronics ; Delivery of Health Care
    Language English
    Publishing date 2024-04-08
    Publishing country Austria
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 89-9
    ISSN 1436-5073 ; 0026-3672
    ISSN (online) 1436-5073
    ISSN 0026-3672
    DOI 10.1007/s00604-024-06314-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Uncovering the morphological differences between SARS-CoV-2 and SARS-CoV based on transmission electron microscopy images.

    Taha, Bakr Ahmed / Al Mashhadany, Yousif / Al-Jubouri, Qussay / Haider, Adawiya J / Chaudhary, Vishal / Apsari, Retna / Arsad, Norhana

    Microbes and infection

    2023  Volume 25, Issue 8, Page(s) 105187

    Abstract: Comprehending the morphological disparities between SARS-CoV-2 and SARS-CoV viruses can shed light on the underlying mechanisms of infection and facilitate the development of effective diagnostic tools and treatments. Hence, this study aimed to conduct a ...

    Abstract Comprehending the morphological disparities between SARS-CoV-2 and SARS-CoV viruses can shed light on the underlying mechanisms of infection and facilitate the development of effective diagnostic tools and treatments. Hence, this study aimed to conduct a comprehensive analysis and comparative assessment of the morphology of SARS-CoV-2 and SARS-CoV using transmission electron microscopy (TEM) images. The dataset encompassed 519 isolated SARS-CoV-2 images obtained from patients in Italy (INMI) and 248 isolated SARS-CoV images from patients in Germany (Frankfurt). In this paper, we employed TEM images to scrutinize morphological features, and the outcomes were contrasted with those of SARS-CoV viruses. The findings reveal disparities in the characteristics of SARS-CoV-2 and SARS-CoV, such as envelope protein (E) 98.6 and 102.2 nm, length of spike protein (S) 10.11 and 9.50 nm, roundness 0.86 and 0.88, circularity 0.78 and 0.76, and area sizes 25145.54 and 38591.35 pixels, respectively. In conclusion, these results will augment the identification of virus subtypes, aid in the study of antiviral medications, and enhance our understanding of disease progression and the virus life cycle. Moreover, these findings have the potential to assist in the development of more accurate epidemiological prediction models for COVID-19, leading to better outbreak management and saving lives.
    MeSH term(s) Humans ; SARS-CoV-2/metabolism ; COVID-19 ; Viruses/metabolism ; Antiviral Agents/therapeutic use ; Microscopy, Electron, Transmission
    Chemical Substances Antiviral Agents
    Language English
    Publishing date 2023-07-28
    Publishing country France
    Document type Journal Article
    ZDB-ID 1465093-9
    ISSN 1769-714X ; 1286-4579
    ISSN (online) 1769-714X
    ISSN 1286-4579
    DOI 10.1016/j.micinf.2023.105187
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants

    Taha, Bakr Ahmed / Al Mashhadany, Yousif / Al-Jubouri, Qussay / Rashid, Affa Rozana Bt Abdul / Luo, Yunhan / Chen, Zhe / Rustagi, Sarvesh / Chaudhary, Vishal / Arsad, Norhana

    Science of the Total Environment. 2023 July, v. 880 p.163333-

    2023  

    Abstract: Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial ... ...

    Abstract Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as ‘one platform’ to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; artificial intelligence ; biomarkers ; biosensors ; diagnostic techniques ; environment ; evolution ; humans ; morbidity ; mutation ; point-of-care systems ; research and development ; therapeutics ; SARS-COV-2 variants ; Nanophononics ; Mutations evolution
    Language English
    Dates of publication 2023-07
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.163333
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  6. Article ; Online: Outcome of sirolimus-based immunosuppression, fifteen years post-live-donor kidney transplantation: Single-center experience.

    Hamdy, Ahmed F / Elhadedy, Muhammed A / Donia, Ahmed F / Taha, Noheir M / Bakr, Mohamed A

    Clinical transplantation

    2019  Volume 33, Issue 2, Page(s) e13463

    Abstract: In a prospective randomized controlled trial, between May 2001 and January 2003, 132 live-donor kidney transplant recipients were randomized to receive sirolimus primary immunosuppression, either in combination with low dose tacrolimus (Tac group) or in ... ...

    Abstract In a prospective randomized controlled trial, between May 2001 and January 2003, 132 live-donor kidney transplant recipients were randomized to receive sirolimus primary immunosuppression, either in combination with low dose tacrolimus (Tac group) or in combination with mycophenolate mofetil (MMF group). We have previously reported on 2- and 5-year follow-up results, with favorable patient and graft outcomes obtained in both groups. In view of recent published reports of increased risk of inferior outcomes among sirolimus-treated patients, we herein present results of an observational extension of the previously randomized patients 15 years post-transplantation. Mortality rates were 10.8% and 3% in Tac and MMF groups respectively after mean follow-up period of 11.2-11.8 years. Comparable graft survival rates were obtained in both groups ranging from 60% to 62.7%. The (MMF) group continued to have the advantage of remaining on primary plan of immunosuppression (56.7% of patients) as well as to maintain better graft function in terms of serum creatinine level. Herein, we presented longest term published data for sirolimus-based immunosuppression among live-donor kidney transplants with favorable outcome in terms of survival and graft function.
    MeSH term(s) Adolescent ; Female ; Follow-Up Studies ; Glomerular Filtration Rate ; Graft Rejection/drug therapy ; Graft Rejection/etiology ; Graft Rejection/mortality ; Graft Survival/drug effects ; Humans ; Immunosuppressive Agents/administration & dosage ; Kidney Failure, Chronic/surgery ; Kidney Function Tests ; Kidney Transplantation/adverse effects ; Kidney Transplantation/mortality ; Male ; Mycophenolic Acid/administration & dosage ; Prognosis ; Retrospective Studies ; Risk Factors ; Sirolimus/administration & dosage ; Survival Rate ; Tissue Donors/supply & distribution
    Chemical Substances Immunosuppressive Agents ; Mycophenolic Acid (HU9DX48N0T) ; Sirolimus (W36ZG6FT64)
    Language English
    Publishing date 2019-01-20
    Publishing country Denmark
    Document type Clinical Trial ; Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 639001-8
    ISSN 1399-0012 ; 0902-0063
    ISSN (online) 1399-0012
    ISSN 0902-0063
    DOI 10.1111/ctr.13463
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: SARS-CoV-2 Morphometry Analysis and Prediction of Real Virus Levels Based on Full Recurrent Neural Network Using TEM Images.

    Taha, Bakr Ahmed / Mashhadany, Yousif Al / Al-Jumaily, Abdulmajeed H J / Zan, Mohd Saiful Dzulkefly Bin / Arsad, Norhana

    Viruses

    2022  Volume 14, Issue 11

    Abstract: The SARS-CoV-2 virus is responsible for the rapid global spread of the COVID-19 disease. As a result, it is critical to understand and collect primary data on the virus, infection epidemiology, and treatment. Despite the speed with which the virus was ... ...

    Abstract The SARS-CoV-2 virus is responsible for the rapid global spread of the COVID-19 disease. As a result, it is critical to understand and collect primary data on the virus, infection epidemiology, and treatment. Despite the speed with which the virus was detected, studies of its cell biology and architecture at the ultrastructural level are still in their infancy. Therefore, we investigated and analyzed the viral morphometry of SARS-CoV-2 to extract important key points of the virus's characteristics. Then, we proposed a prediction model to identify the real virus levels based on the optimization of a full recurrent neural network (RNN) using transmission electron microscopy (TEM) images. Consequently, identification of virus levels depends on the size of the morphometry of the area (width, height, circularity, roundness, aspect ratio, and solidity). The results of our model were an error score of training network performance 3.216 × 10
    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19 ; Neural Networks, Computer ; Microscopy, Electron, Transmission
    Language English
    Publishing date 2022-10-28
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v14112386
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Photonics enabled intelligence system to identify SARS-CoV 2 mutations.

    Taha, Bakr Ahmed / Al-Jubouri, Qussay / Al Mashhadany, Yousif / Zan, Mohd Saiful Dzulkefly Bin / Bakar, Ahmad Ashrif A / Fadhel, Mahmoud Muhanad / Arsad, Norhana

    Applied microbiology and biotechnology

    2022  Volume 106, Issue 9-10, Page(s) 3321–3336

    Abstract: The COVID-19, MERS-CoV, and SARS-CoV are hazardous epidemics that have resulted in many deaths which caused a worldwide debate. Despite control efforts, SARS-CoV-2 continues to spread, and the fast spread of this highly infectious illness has posed a ... ...

    Abstract The COVID-19, MERS-CoV, and SARS-CoV are hazardous epidemics that have resulted in many deaths which caused a worldwide debate. Despite control efforts, SARS-CoV-2 continues to spread, and the fast spread of this highly infectious illness has posed a grave threat to global health. The effect of the SARS-CoV-2 mutation, on the other hand, has been characterized by worrying variations that modify viral characteristics in response to the changing resistance profile of the human population. The repeated transmission of virus mutation indicates that epidemics are likely to occur. Therefore, an early identification system of ongoing mutations of SARS-CoV-2 will provide essential insights for planning and avoiding future outbreaks. This article discussed the following highlights: First, comparing the omicron mutation with other variants; second, analysis and evaluation of the spread rate of the SARS-CoV 2 variations in the countries; third, identification of mutation areas in spike protein; and fourth, it discussed the photonics approaches enabled with artificial intelligence. Therefore, our goal is to identify the SARS-CoV 2 virus directly without the need for sample preparation or molecular amplification procedures. Furthermore, by connecting through the optical network, the COVID-19 test becomes a component of the Internet of healthcare things to improve precision, service efficiency, and flexibility and provide greater availability for the evaluation of the general population. KEY POINTS: • A proposed framework of photonics based on AI for identifying and sorting SARS-CoV 2 mutations. • Comparative scatter rates Omicron variant and other SARS-CoV 2 variations per country. • Evaluating mutation areas in spike protein and AI enabled by photonic technologies for SARS-CoV 2 virus detection.
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Humans ; Intelligence ; Mutation ; Optics and Photonics ; SARS-CoV-2/genetics ; Spike Glycoprotein, Coronavirus/genetics
    Chemical Substances Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2022-04-29
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 392453-1
    ISSN 1432-0614 ; 0171-1741 ; 0175-7598
    ISSN (online) 1432-0614
    ISSN 0171-1741 ; 0175-7598
    DOI 10.1007/s00253-022-11930-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article: Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique.

    Taha, Bakr Ahmed / Al-Jubouri, Qussay / Al Mashhadany, Yousif / Hafiz Mokhtar, Mohd Hadri / Bin Zan, Mohd Saiful Dzulkefly / Bakar, Ahmad Ashrif A / Arsad, Norhana

    Applied soft computing

    2023  Volume 138, Page(s) 110210

    Abstract: The worldwide outbreak of COVID-19 disease was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these viruses to infect host cells, is one of the distinctive biological traits of ... ...

    Abstract The worldwide outbreak of COVID-19 disease was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these viruses to infect host cells, is one of the distinctive biological traits of various prior viruses. As a result, the process by which these viruses infect people is largely dependent on spike proteins. The density of SARS-CoV-2 spike proteins must be estimated to better understand and develop diagnostics and vaccines against the COVID-19 pandemic. CT scans and X-rays have three issues: frosted glass, consolidation, and strange roadway layouts. Each of these issues can be graded separately or together. Although CT scan is sensitive to COVID-19, it is not very specific. Therefore, patients who obtain these results should have more comprehensive clinical and laboratory tests to rule out other probable reasons. This work collected 586 SARS-CoV 2 transmission electron microscopy (TEM) images from open source for density estimation of virus spike proteins through a segmentation approach based on the superpixel technique. As a result, the spike density means of SARS-CoV2 and SARS-CoV were 21,97 nm and 22,45 nm, respectively. Furthermore, in the future, we aim to include this model in an intelligent system to enhance the accuracy of viral detection and classification. Moreover, we can remotely connect hospitals and public sites to conduct environmental hazard assessments and data collection.
    Language English
    Publishing date 2023-03-16
    Publishing country United States
    Document type Journal Article
    ISSN 1568-4946
    ISSN 1568-4946
    DOI 10.1016/j.asoc.2023.110210
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants.

    Taha, Bakr Ahmed / Al Mashhadany, Yousif / Al-Jubouri, Qussay / Rashid, Affa Rozana Bt Abdul / Luo, Yunhan / Chen, Zhe / Rustagi, Sarvesh / Chaudhary, Vishal / Arsad, Norhana

    The Science of the total environment

    2023  Volume 880, Page(s) 163333

    Abstract: Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial ... ...

    Abstract Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
    MeSH term(s) Humans ; SARS-CoV-2/genetics ; COVID-19/diagnosis ; Artificial Intelligence ; Intelligence ; Biosensing Techniques ; COVID-19 Testing
    Language English
    Publishing date 2023-04-06
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.163333
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top