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
Sekisui Diagnostics UK Ltd.

Download Mobile App




POC Rapid Diagnostics Platform Leverages Graphene-Based Biosensors for Real-Time Disease Detection

By HospiMedica International staff writers
Posted on 08 Jun 2023
Print article
Image: Graphene-based biosensors for medical devices can be used to diagnose a variety of diseases at POC (Photo courtesy of Freepik)
Image: Graphene-based biosensors for medical devices can be used to diagnose a variety of diseases at POC (Photo courtesy of Freepik)

A revolutionary graphene-based technology enables testing for a broad range of indications using a variety of sample types in less than five minutes at POC, placing high-performance diagnostics directly in the hands of medical professionals.

GrapheneDx (Boston MA, USA), an in vitro diagnostics company, is focusing on improving diagnostic capability at the point of care by industrializing graphene-based biosensors for medical devices used to diagnose a variety of diseases. Known for its superior electrical properties, graphene - a single-atom, thick layer of carbon - enables the highly accurate detection of diverse biomolecules. The medical devices developed by GrapheneDx are designed to match lab-quality accuracy, yield results in less than five minutes, and be easy enough to be used in professional healthcare settings.

GrapheneDx has developed the GFET platform which demonstrates remarkable versatility in diagnosing various conditions such as sexually transmitted infections, respiratory and cardiac diseases, concussion, and more, using different sample types like stool, urine, swabs, blood, etc., with minimal or no sample preparation. Moreover, the platform has the capability to concurrently multiplex multiple analytes using a single patient sample. The first tests introduced by GrapheneDx will focus on the diagnosis of sexually transmitted infections, specifically Chlamydia and Gonorrhea, utilizing a noninvasive, easy-to-collect urine sample.

Related Links:
GrapheneDx 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Baby Warmer
THERMOCARE Convenience

Print article

Channels

Critical Care

view channel
Image: AI could help physicians detect abnormal heart rhythms earlier (Photo courtesy of 123RF)

AI to Improved Diagnosis of Atrial Fibrillation

Abnormal heart rhythms frequently arise from—and contribute to—structural abnormalities in the heart. Atrial fibrillation is a specific type of abnormal rhythm that may not be consistently present, often... Read more

Surgical Techniques

view channel
Image: ‘Wraparound’ implants represent a new approach to treating spinal cord injuries (Photo courtesy of 123RF)

Tiny Wraparound Electronic Implants to Revolutionize Treatment of Spinal Cord Injuries

The spinal cord functions as a vital conduit, transmitting nerve impulses to and from the brain, much like a highway. When the spinal cord is damaged, this flow of information is disrupted, leading to... 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.