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Artificial Intelligence-Assisted Point-of-Care Nucleic Acid Testing Platform for Rapid Detection of Infectious Diseases

Research output: Conference PapersPoster

Abstract

BACKGROUND
Rapid and accurate point-of-care (POC) PCR tests are a desired alternative to quantitative polymerase chain reaction (qPCR) tests offered by centralized diagnostic laboratories. POC PCR platforms with colorimetric readout-based isothermal nucleic acid amplification methods hold promise for decentralized diagnostics in small animal practice.

AIM(S) OF THE WORK
Here we developed and optimized an integrated, highly sensitive and specific sample-to-result nucleic acid test (NAT) platform for detection of tick-borne pathogens in canine clinical samples at the point of care.

METHODS
A pipette tip-liked device enriched with magnetic beads was developed for the rapid sample extraction. Target-specific primers of loop- mediated isothermal amplification (LAMP) were designed based on published sequences. Further, a four-channel palm-size incubator powered by a smartphone with type-C output was developed. Machine learning-based software containing fast image recognition technology via YOLOv5s model for automatic readout was employed to facilitate detection of positive and negative results. Analytical performance of the developed POC NAT platform was evaluated for two tick-borne pathogens (Babesia gibsoni and Ehrlichia canis).

RESULTS AND DISCUSSION
The POC NAT platform allows untrained users to complete up to 4 sample tests within 25 minutes with a sensitivity comparable to a gold- standard qPCR (∼1 copy/μL). Developed POC NAT is suitable for the routine detection of Babesia spp. and Ehrlichia spp. in clinical blood samples.

CONCLUSIONS
We developed an AI-assisted rapid a POC NAT platform for detection of Babesia and Ehrlichia with a sensitivity comparable t qPCR. Our platform can facilitate on-site diagnostics in small animal clinics and other point-of-care scenarios.

DISCLOSURES
The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. We would like to thank the staff at Veterinary Diagnostic Laboratory of City University of Hong Kong for their assistance in sample collection.

Copyright 2024, ISCAID and Authors
Original languageEnglish
Pages110
Number of pages1
Publication statusPublished - 14 Oct 2024
EventInternational Society for Companion Animal Infectious Diseases Symposium 2024 - Vancouver, Canada
Duration: 14 Oct 202416 Oct 2024
https://www.iscaid.org/2024-symposium

Conference

ConferenceInternational Society for Companion Animal Infectious Diseases Symposium 2024
Abbreviated title2024 ISCAID Symposium
PlaceCanada
CityVancouver
Period14/10/2416/10/24
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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