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

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.

Image: The AI-powered platform improves point-of-care diagnostics with enhanced accuracy and real-time data (Photo courtesy of HueDx)

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.”

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