Skip to main content

SIBIONICS Presents AI-Linked GS3 Glucose Sensor at Melbourne Diabetes Congress

Image
SIBIONICS Presents AI-Linked GS3 Glucose Sensor at Melbourne Diabetes Congress

Melbourne, Australia -- September 01, 2026 -- SIBIONICS presented its GS3 continuous glucose monitor at the joint IDF-WPR, ADC and Metabolic Diseases 2026 congress, held in Melbourne from August 18 to 21, 2026. The company used Booth #1, a scientific symposium and on-site interviews with credentialled diabetes educators to demonstrate the sensor's AI-linked meal-logging and glucose-trend features. GS3 is a factory-calibrated, 14-day continuous glucose monitor with a 2.9 mm on-body profile.

SIBIONICS traces GS3's sensor design to its retinal prosthesis work in brain-computer interfaces

SIBIONICS built GS3 on engineering originally developed for its brain-computer interface programs, including a retinal prosthesis intended to restore limited visual perception in patients with profound vision loss from outer retinal degenerative diseases such as retinitis pigmentosa. Those implantable systems demand precise, stable biosensing and robust signal processing. The company said it applied that same platform architecture to build GS3 as a lower-complexity, mass-market continuous glucose monitor.

Three specialists outline an AI-driven diabetes ecosystem at a symposium co-hosted with Air Liquide Healthcare

SIBIONICS and Air Liquide Healthcare jointly hosted the symposium "Beyond Glucose: The Integrated Future of CGM, CKM, and AI in Diabetes," chaired by Professor Sofianos Andrikopoulos, Group CEO of the Australian Diabetes Society. Professor David O'Neal of the University of Melbourne, Deputy Director of the Australian Centre for Accelerating Diabetes Innovations, reviewed clinical evidence on continuous glucose and ketone monitoring. Associate Professor Shannon Lin of the University of Technology Sydney examined how CGM data could move toward personalized, predictive support. Professor Wei Qiang, Deputy Director of Endocrinology and Metabolism at the First Affiliated Hospital of Xi'an Jiaotong University, described an integrated AI ecosystem linking sensing data, patient context and machine learning.

Diabetes educators cite comfort and food-logging features during anonymised booth interviews

Physicians and credentialled diabetes educators who visited the SIBIONICS booth during the congress described GS3 in anonymised interviews as small, light, comfortable and easy to set up. They pointed to AI-supported spike detection and meal-logging tools that link glucose trends to food context as areas of particular interest. Educators also flagged the need for clearer carbohydrate estimates and clinically useful event timelines, saying AI tools should extend patient education and decision support rather than replace clinician oversight.

SIBIONICS plans to add ketone monitoring and insulin delivery to its sensing platform

SIBIONICS said it plans to integrate its sensing platform with continuous ketone monitoring, insulin delivery systems and additional diabetes technologies. The company described the goal as building a connected ecosystem that shortens the gap between raw glucose data and actionable clinical decisions.

Published by
fairsonline_team
Products
News Type