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     153  0 Kommentare Know Labs to Present at the American Diabetes Association’s Scientific Sessions

    Know Labs, Inc. (NYSE American: KNW), a leading developer of non-invasive medical diagnostic technology, today announced further interim results from a clinical research study that assessed the accuracy of Know Labs’ proprietary non-invasive radiofrequency (RF) dielectric sensor in measuring blood glucose. Participants with prediabetes and Type 2 diabetes were studied and venous blood was used as a comparative reference. The study found that the accuracy of Know Labs’ proprietary sensor in estimating blood glucose values remained statistically stable, with an expanded dataset and a new machine learning (ML) model.

    Dr. Virend K. Somers of the Mayo Clinic serves as an author and co-investigator on the clinical research protocol. Dr. Somers will present an abstract titled, “A New Machine Learning Model and Expanded Dataset for a Non-Invasive BGM” at the American Diabetes Association’s 84th Scientific Sessions (ADA) in Orlando, Florida during a general poster presentation session on Saturday, June 22 at 12:30 PM - 1:30 PM EDT.

    This study reflects the latest results in Know Labs’ first clinical research protocol involving people with diabetes and using venous blood as a comparative reference. In March of this year, Know Labs presented early interim results from the same clinical research protocol at the 17th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD), in which its non-invasive blood glucose monitor and ML model trained on data collected in a lab setting achieved a MARD of 11.1%. Compared to the previous study, which was based on 10 participants and 650 paired RF and reference blood glucose values, this study involved more than twice as much data collected from 22 participants yielding 1,430 paired values.

    Study Design

    The proprietary RF sensor employed in the study measures glucose levels using dielectric spectroscopy by rapidly scanning a large range of RF frequencies and recording voltage values detected at each frequency to quantify, with trade-secret ML algorithms, real-time continuous blood glucose levels. The sensor continuously scanned participants' forearms for up to three hours during a 75g Oral Glucose Tolerance Test. From the 22 participants, 1,430 venous blood samples were collected using a peripheral intravenous catheter and analyzed using an FDA-cleared blood glucose hospital meter as a reference device.

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    Know Labs to Present at the American Diabetes Association’s Scientific Sessions Know Labs, Inc. (NYSE American: KNW), a leading developer of non-invasive medical diagnostic technology, today announced further interim results from a clinical research study that assessed the accuracy of Know Labs’ proprietary non-invasive …