Know Labs, Inc. has unveiled the KnowU™, a wearable non-invasive continuous glucose monitor that aims to deliver a user-friendly solution. This device — which was developed over an accelerated eight-month period — is equipped with a proprietary sensor intended for FDA submission, which has demonstrated stability and accuracy in both laboratory and real-world settings.
The non-invasive continuous glucose monitor by Know Labs features a compact design and can be worn either with an adhesive or a strap on the wrist or forearm. It includes on-board computing and machine learning capabilities and is designed for durability. The KnowU™ also boasts a rechargeable battery and compatibility with a companion mobile app. Since it is reusable, the design has sustainable connotations.
The introduction of the KnowU represents a significant step towards providing a non-invasive glucose monitoring solution to the global market. The device will undergo extensive clinical trials to further validate its performance and reliability across diverse populations and glycemic ranges.
Non-Invasive Continuous Glucose Monitors
Know Labs Announces the Groundbreaking KnowU™ Tool
Trend Themes
1. Non-invasive Health Monitoring - The development of advanced wearable sensors like KnowU™ is transforming how individuals can track and manage their health conditions without invasive procedures.
2. AI-powered Healthcare Devices - The integration of machine learning in the KnowU™ monitor demonstrates the potential for AI to enhance accuracy and functionality in medical devices.
3. Sustainable Wearable Technology - Reusable designs, such as the KnowU™, highlight a shift towards more eco-friendly technological solutions in the healthcare industry.
Industry Implications
1. Medical Devices - Innovations like KnowU™ indicate rapid advancements in non-invasive technology for managing chronic conditions such as diabetes.
2. Wearable Technology - The continuous development of wearable health monitors showcases the growing convergence between health data tracking and consumer electronics.
3. Artificial Intelligence - Machine learning applications in devices like the KnowU™ highlight the increasing role of AI in enhancing healthcare outcomes.