We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App





AI Takes Guesswork Out Of Lateral Flow Testing

By LabMedica International staff writers
Posted on 19 Oct 2022
Print article
Image: Researchers show that machine learning-based apps could be beneficial for diagnostic testing at home (Photo courtesy of Pexels)
Image: Researchers show that machine learning-based apps could be beneficial for diagnostic testing at home (Photo courtesy of Pexels)

An artificial intelligence (AI) app to read COVID-19 lateral flow tests helped to reduce false results in a new trial.

A team of researchers from the University of Birmingham (Birmingham, UK), Durham University (Durham, UK) and Oxford University (Oxford, UK) tested whether a machine learning algorithm could improve the accuracy of results from antigen lateral flow devices for COVID-19. The LFD AI Consortium team worked at UK Health Security Agency assisted test centres and with health care workers conducting self-testing to trial the AI app. More than 100,000 images were submitted as part of the study, and the team found that the algorithm was able to increase the sensitivity of results, determining between a true positive and false negative, from 92% to 97.6% accuracy.

“The widespread use of antigen lateral flow devices was a significant moment not just during the pandemic, but has also introduced diagnostic testing to many more people in society. One of the drawbacks with LFD testing for COVID, pregnancy and any other future use is the ‘faint line’ question – where we can’t quite tell if it’s a positive or not,” said Professor Andrew Beggs, Professor of Cancer Genetics & Surgery at the University of Birmingham and lead author of the study. “The study looked at the feasibility of using machine learning to take the guesswork out of the faint line tests, and we’re pleased to see that the app saw an increase in sensitivity of the tests, reducing the numbers of false negatives. The promise of this type of technology could be used in lots of applications, both to reduce uncertainty about test results and provide a crucial support for visually impaired people.”

“The increase in sensitivity and overall accuracy is significant and it shows the potential of this app by reducing the number of false negatives and future infections. Crucially, the method can also be easily adapted to the evaluation of other digital readers for lateral flow type devices,” added Professor Camila Caiado, Professor of Statistics at Durham University and chief statistician on the project.

Related Links:
University of Birmingham
Durham University
Oxford University

New
Platinum Member
Flu SARS-CoV-2 Combo Test
OSOM® Flu SARS-CoV-2 Combo Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
SARS-CoV-2 Test
One Step SARS-CoV-2 Nucleic Acid Detection Kit (P761H)

Print article
77 ELEKTRONIKA

Channels

Clinical Chemistry

view channel
Image: The new DxC 500i Clinical Analyzer is an integrated clinical chemistry and immunoassay analyzer (Photo courtesy of Beckman Coulter Diagnostics)

Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability

As global healthcare systems increasingly shift towards networked laboratory operational models to enhance efficiency and patient access, there is a greater need for innovative solutions tailored to the... Read more

Molecular Diagnostics

view channel
Image: Schematic illustration of the SEDphone system workflow (Photo courtesy of ZHU Cancan)

Smartphone-Controlled Microfluidic Device Enables Rapid Influenza Detection

The influenza virus represents a significant public health concern, annually causing epidemics with high morbidity and mortality rates. The virus is known for its high mutation rate and the existence of... Read more

Hematology

view channel
Image: The new Yumizen H550E (autoloader), H500E CT (closed tube), and Yumizen H500E OT (open tube) (Photo courtesy of HORIBA)

New Hematology Analyzers Deliver Combined ESR and CBC/DIFF Results in 60 Seconds

HORIBA (Kyoto, Japan) has expanded its line of compact hematology analyzers by introducing new models that incorporate Erythrocyte Sedimentation Rate (ESR) measurement capabilities. The newly launched... Read more

Pathology

view channel
Image: High-speed brightfield scanners offer excellent image quality to aid pathologists\' review of digital slides (Photo courtesy of Roche)

Whole-Slide Imaging System Enables Pathologists to Diagnose Patients Using Digital Images

Digital pathology involves the digitalization of the traditional pathology workflow, starting from slide scanning to visualization, to analysis. Digital pathology is transforming traditional histopathology... Read more

Industry

view channel
Image: The global urinalysis market is projected to grow at a CAGR of 9.6% to USD 6.8 billion by 2029 (Photo courtesy of Shutterstock)

Global Urinalysis Market Driven by Technological Advancements in POC Testing

Urinalysis is a practical and efficient technique for analyzing urine samples to detect various infections and chronic diseases such as diabetes, urinary tract infections, and kidney disease.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.