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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




World's First Multiplex Biochip Identifies COVID, Flu, RSV, and Respiratory Pathogens in Less than 60 Seconds

By HospiMedica International staff writers
Posted on 01 Aug 2023
Print article
Image: The groundbreaking polymer-based biochip can directly detect whole viruses (Photo courtesy of Opteev)
Image: The groundbreaking polymer-based biochip can directly detect whole viruses (Photo courtesy of Opteev)

A revolutionary multiplex biochip for diagnosing respiratory infection has the potential to test multiple pathogens causing respiratory infections, such as SARS-CoV-2, RSV, and Influenza. The game-changing technology can accurately identify the specific virus or bacteria in less than a minute, paving the way for an ultra-rapid, portable, and accurate syndromic diagnostic device to provide healthcare providers with immediate results at their fingertips.

The tiny groundbreaking polymer-based biochip developed by Opteev Technologies (Baltimore, MD, USA) is capable of detecting whole viruses in real-time in processed as well as unprocessed samples like saliva or nasal swabs. It has shown an unparalleled accuracy rate of 99.49%, with an impressive detection limit in its performance evaluation. In a complex sample, the biosensor accurately identifies target viruses by using carefully selected virus-binding peptides, enhancing its specificity. The biochip employs artificial intelligence to fine-tune the detection frequency range, effectively reducing the effects of interfering noise signals, and ensuring the reliability and precision of virus detection.

In contrast to conventional respiratory panels that are expensive and require days for delivering results, Opteev's biochip offers a cost-effective solution for syndromic testing. It facilitates point-of-care processing of samples, providing simultaneous detection and specific identification of various pathogens. This game-changing technology eliminates guesswork, equipping healthcare providers with crucial information needed for effective treatment right at the point of care.

"With the development of our multiplex biochip, we are revolutionizing point-of-care diagnostics," said Dr. Mesfin Meshesha, Vice President of Virology & Diagnostics at Opteev Technologies. "The potential of this technology to transform patient care, streamline operations, and reduce costs is truly remarkable."

Related Links:
Opteev Technologies  

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
12-Channel ECG
CM1200B
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Compact C-Arm
Arcovis DRF-C S21

Print article

Channels

Critical Care

view channel
Image: The stretchable microneedle electrode arrays (Photo courtesy of Zhao Research Group)

Stretchable Microneedles to Help In Accurate Tracking of Abnormalities and Identifying Rapid Treatment

The field of personalized medicine is transforming rapidly, with advancements like wearable devices and home testing kits making it increasingly easy to monitor a wide range of health metrics, from heart... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.