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
ARAB HEALTH - INFORMA

Download Mobile App




Smartphone-Enabled, Paper-Based Quantitative Diagnostic Platform Transforms POC Testing

By HospiMedica International staff writers
Posted on 08 Oct 2024
Print article
Image: The AI-powered platform improves point-of-care diagnostics with enhanced accuracy and real-time data (Photo courtesy of HueDx)
Image: The AI-powered platform improves point-of-care diagnostics with enhanced accuracy and real-time data (Photo courtesy of HueDx)

Point-of-care diagnostics are crucial for public health, offering rapid, on-site testing that enables prompt diagnosis and treatment. This is especially valuable in remote or underserved regions where access to laboratory resources is limited. By enabling immediate clinical decisions, point-of-care testing can alleviate strain on healthcare systems and enhance patient outcomes. Now, a new study has demonstrated the effectiveness of a smartphone-enabled, paper-based quantitative diagnostic platform, which improves point-of-care diagnostics by delivering enhanced accuracy, real-time data, and broader accessibility for fast and reliable testing.

The study focused on HueDx’s (Pennsylvania, PA, USA) innovative platform, which comprises HueTools and HueLab. HueDx’s HueTools are artificial intelligence (AI) tools that shorten assay development from years to months while its HueLab customizable cartridge and app, create a portable testing solution that eliminates the need for a traditional lab. This research represents a significant breakthrough in colorimetric diagnostic methods, overcoming past challenges in achieving accurate and consistent results in clinical chemistry at the point of care without requiring additional hardware. The incorporation of smartphone technology enhances these capabilities, allowing for the quantification of previously qualitative assays and enabling real-time data collection and analysis. This will expand point-of-care testing to more providers, including at-home testing, delivering quantitative and actionable results.

The study found that the color correction system restored images to near-perfect consistency, independent of original illumination conditions. In precision testing, the coefficient of variation was nearly twice as high without the color correction. Additionally, limits of blank, detection, and quantification were significantly improved using the HueDx pipeline. The research also demonstrated the platform's effectiveness in calibrating and quantifying a paper-based total protein assay, illustrating its potential for use in point-of-care testing across diverse medical settings.

“The HueDx color correction system represents a major leap forward in diagnostic technology, allowing for accurate and reliable testing in real-world settings,” said Dr. Nidhi Menon, Head of R&D, at HueDx, Inc. “We’re dedicated to enhancing health outcomes with innovative solutions, and our work truly reflects that commitment, setting the stage for the future of smartphone-enabled diagnostics.”

Related Links:
HueDx

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Hospital Data Analytics Software
OR Companion
New
Mobile Barrier
Tilted Mobile Leaded Barrier

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... 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.