New Patent Is Keeping Know Labs at the Forefront of Diabetes Care

The Seattle-based company increases its diagnostic prowess with glucose sensor patent.

Omar Ford

January 4, 2023

2 Min Read
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Image courtesy of Tumisu from Pixabay

Know Labs said it has been granted a new foundational patent that equates the company’s Bio-RFID diagnostic technology to a current reference standard for glucose monitoring.

The company said the patent establishes a specific, superior benchmark range of clinical accuracy, known as the MARD or Mean Absolute Relative Difference.

The new patent extends the Know Labs IP portfolio to nearly 90 patents issued and pending, reinforcing the company’s position as the top worldwide IP holder in non-invasive blood glucose monitoring.

“Intellectual property development is a critical pillar of our success,” said Ron Erickson, Know Labs founder and chairman. “We make significant investments in the strategic development of our IP Portfolio, which creates long-term value for our shareholders, improves our competitive position and accelerates our efforts to bring the first FDA-cleared, truly non-invasive glucose monitoring device to the market.”

U.S. Patent No. 11,529,077, titled “High Performance Glucose Sensor,” was just issued by the United States Patent and Trademark Office. This patent explicitly designates a MARD range of 5.0% to 9.9% for Know Lab’s non-invasive diagnostics technology platform. MARD is an industry and FDA-accepted benchmark of clinical accuracy. The range patented for Know Labs’ Bio-RFID platform is equal to or superior to the MARD readings of any FDA-cleared blood glucose monitoring products, highlighting its importance for Know Labs’ future and its already robust IP Portfolio.

The patent also states that Know Labs’ non-invasive diagnostic technology could become the new reference standard for glucose testing. The current “gold standard,” the YSI Glucose Analyzer, measures only capillary blood. “The high accuracy of the [Know Labs] non-invasive glucose sensor described herein, when compared to lower accuracy glucose sensors such as minimally invasive CGMs and fingerstick glucose sensors, means that the [Know Labs’] non-invasive glucose sensor can be used as a standard or reference sensor against which the accuracy of other glucose sensors are gauged. In one embodiment, readings from the non-invasive glucose sensor described herein can be used in place of readings obtained by a YSI glucose analyzer.”

“We believe this is the first and only patent granted with a MARD range in its claims,” Erickson said. “This is a significant milestone for Know Labs and for the non-invasive glucose monitoring industry, as it sets a new benchmark for MARD among all glucose sensors, invasive or not. We remain highly confident in our plans as we continue executing toward the FDA clearance process. To build something that has never been done before, we need to approach the problem from a different angle. This patent shows we are doing that and validates that we are on the right track. There is more to be done. We believe our technology platform will transform the medical diagnostics industry and significantly improve the lives of millions of people worldwide.”

About the Author

Omar Ford

Omar Ford is a veteran reporter in the field of medical technology and healthcare journalism. As Editor-in-Chief of MD+DI (Medical Device and Diagnostics Industry), a leading publication in the industry, Ford has established himself as an authoritative voice and a trusted source of information.

Ford, who has a bachelor's degree in print journalism from the University of South Carolina, has dedicated his career to reporting on the latest advancements and trends in the medical device and diagnostic sector.

During his tenure at MD+DI, Ford has covered a wide range of topics, including emerging medical technologies, regulatory developments, market trends, and the rise of artificial intelligence. He has interviewed influential leaders and key opinion leaders in the field, providing readers with valuable perspectives and expert analysis.

 

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