Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27551
Title: VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK
Authors: Poirier, AC
Riaño Moreno, RD
Takaindisa, L
Carpenter, J
Mehat, JW
Haddon, A
Rohaim, MA
Williams, C
Burkhart, P
Conlon, C
Wilson, M
McClumpha, M
Stedman, A
Cordoni, G
Branavan, M
Tharmakulasingam, M
Chaudhry, NS
Locker, N
Fernando, A
Balachandran, W
Bullen, M
Collins, N
Rimer, D
Horton, DL
Munir, M
La Ragione, RM
Keywords: rapid diagnostics;LAMP (loop mediated isothermal amplification);COVID-19;artificial intelligence;infectious diseases
Issue Date: 28-Sep-2023
Publisher: Frontiers Media
Citation: Poirier, A.C. et al. (2023) 'VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK', Frontiers in Molecular Biosciences, 10, 1144001, pp. 1 - 15. doi: 10.3389/fmolb.2023.1144001.
Abstract: Introduction: Accurate and rapid diagnostics paired with effective tracking and tracing systems are key to halting the spread of infectious diseases, limiting the emergence of new variants and to monitor vaccine efficacy. The current gold standard test (RT-qPCR) for COVID-19 is highly accurate and sensitive, but is time-consuming, and requires expensive specialised, lab-based equipment. Methods: Herein, we report on the development of a SARS-CoV-2 (COVID-19) rapid and inexpensive diagnostic platform that relies on a reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay and a portable smart diagnostic device. Automated image acquisition and an Artificial Intelligence (AI) deep learning model embedded in the Virus Hunter 6 (VH6) device allow to remove any subjectivity in the interpretation of results. The VH6 device is also linked to a smartphone companion application that registers patients for swab collection and manages the entire process, thus ensuring tests are traced and data securely stored. Results: Our designed AI-implemented diagnostic platform recognises the nucleocapsid protein gene of SARS-CoV-2 with high analytical sensitivity and specificity. A total of 752 NHS patient samples, 367 confirmed positives for coronavirus disease (COVID-19) and 385 negatives, were used for the development and validation of the test and the AI-assisted platform. The smart diagnostic platform was then used to test 150 positive clinical samples covering a dynamic range of clinically meaningful viral loads and 250 negative samples. When compared to RT-qPCR, our AI-assisted diagnostics platform was shown to be reliable, highly specific (100%) and sensitive (98–100% depending on viral load) with a limit of detection of 1.4 copies of RNA per µL in 30 min. Using this data, our CE-IVD and MHRA approved test and associated diagnostic platform has been approved for medical use in the United Kingdom under the UK Health Security Agency’s Medical Devices (Coronavirus Test Device Approvals, CTDA) Regulations 2022. Laboratory and in-silico data presented here also indicates that the VIDIIA diagnostic platform is able to detect the main variants of concern in the United Kingdom (September 2023). Discussion: This system could provide an efficient, time and cost-effective platform to diagnose SARS-CoV-2 and other infectious diseases in resource-limited settings.
Description: Data availability statement: The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmolb.2023.1144001/full#supplementary-material SUPPLEMENTARY TABLE S1 | Full data set obtained from the 400 clinical samples, as it was submitted to the CTDA for approval.
A correction has been applied to this article in: Corrigendum: VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK - correction: In the published article, there was an error in the Article title. Instead of “VIDIIA Hunter diagnostic platform: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostics approved for medical use in the UK,” it should be “VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK”. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
URI: https://bura.brunel.ac.uk/handle/2438/27551
DOI: https://doi.org/10.3389/fmolb.2023.1144001
Other Identifiers: ORCID iD: Wamadeva Balachandran https://orcid.org/0000-0002-4806-2257
ORCID iD: Manoharanehru Branavan https://orcid.org/0000-0002-5663-6150
1144001
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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FullText.pdfCopyright © 2023 Poirier, Riaño Moreno, Takaindisa, Carpenter, Mehat, Haddon, Rohaim, Williams, Burkhart, Conlon, Wilson, McClumpha, Stedman, Cordoni, Branavan, Tharmakulasingam, Chaudhry, Locker, Fernando, Balachandran, Bullen, Collins, Rimer, Horton, Munir and La Ragione. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.1.62 MBAdobe PDFView/Open


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