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SIBIONICS hosts the 4th AGP & DTx Summit, spotlighting a new era of AI-powered diabetes management

A convergence of continuous glucose monitoring (CGM), closed-loop kinetic modeling (CKM), and artificial intelligence (AI) is poised to revolutionize diabetes management, as evidenced by the 4th AGP & DTx Summit in Shenzhen, where industry leaders gathered to discuss the integration of these technologies. The event highlighted the potential for real-time CGM data to inform AI-driven CKM algorithms, enabling more precise insulin dosing and improved glycemic control. Nearly 300 experts attended the summit, underscoring the growing momentum behind this integrated approach.

Marcus W (AI-assisted) 1 min read EN

Based on reporting from Source.

Overview

SIBIONICS hosted the 4th AGP & DTx Summit Forum in Shenzhen, bringing together nearly 300 experts, clinicians, researchers, and industry partners to discuss the integration of continuous glucose monitoring (CGM), continuous ketone monitoring (CKM), and artificial intelligence (AI) in diabetes care. The event, themed "Beyond Glucose: The Integrated Future of CGM, CKM, and AI in Diabetes," focused on moving from passive data collection to actionable, AI-driven management.

What was discussed

The summit featured more than 30 international speakers, including Andrej Janež, Sofianos Andrikopoulos, Shannon Lin, and Rodrigo Nunes Lamounier. Topics covered included the healthcare value of digital therapeutics in diabetes, CGM-based metabolic phenotyping, challenges and outlook of CGM technology, the application of CXM in digital therapeutics, and patient perspectives on future CGM and digital diabetes management.

Three parallel academic sessions ran alongside the main forum: a Clinical Session, a Nursing Session, and an Exemplary Clinical Case Presentation Session. These provided a platform for multidisciplinary exchange across clinical research, nursing practice, real-world application, and patient care.

AI features in the GS3

A key discussion point was the shift from glucose monitoring toward more integrated and actionable management. With AI-enabled tools, CGM data is increasingly being connected with daily behaviors such as meals, exercise, and medication, helping users and healthcare professionals understand glucose patterns and management needs.

During the summit, SIBIONICS introduced AI capabilities integrated into its GS3 device, including AI Meal Insight and AI-powered event logging. These features are designed to simplify daily recording, analyze the relationship between lifestyle events and glucose changes, and support users in building stronger long-term adherence.

Research and trials

Since 2024, SIBIONICS has supported approximately 20 investigator-initiated trials (IIT) across global markets. The summit highlighted the growing momentum behind integrating CGM, CKM, and AI, with the goal of turning continuous glucose insights into clearer daily actions.

Bottom line

The 4th AGP & DTx Summit demonstrated that the convergence of CGM, CKM, and AI is moving from concept to practice. SIBIONICS is positioning its GS3 device as a platform that not only monitors glucose but also analyzes lifestyle patterns and provides actionable recommendations, aiming to help users know what to do next based on their data.

Sources 1

  1. 01 Source https://www.prnewswire.com/news-releases/sibionics-hosts-the-4th-agp--dtx-summit-spotlighting-a-new-era-of-ai-powered-diabetes-management-302771463.html
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