The Role of Digital Twin AI Models in Diabetes Care and Remission

ADA Member Exclusive Webinar

In the era of precision medicine, Digital Twin AI platforms are transforming diabetes care by creating virtual representations of individual patients. These platforms integrate multimodal data sources—such as continuous glucose monitoring (CGM), lifestyle inputs, and biomarkers—to provide real-time insights and predictive modeling. By simulating personalized scenarios, Digital Twins enable clinicians and patients to optimize treatment strategies, improve glycemic control, and reduce complications through highly individualized care plans.

Overview

In the era of precision medicine, Digital Twin AI platforms are transforming diabetes care by creating virtual representations of individual patients. These platforms integrate multimodal data sources—such as continuous glucose monitoring (CGM), lifestyle inputs, and biomarkers—to provide real-time insights and predictive modeling. By simulating personalized scenarios, Digital Twins enable clinicians and patients to optimize treatment strategies, improve glycemic control, and reduce complications through highly individualized care plans.

Learning Objectives

Explain the concept of Digital Twin AI and its application in precision medicine for diabetes management.
Analyze the role of integrated data streams (CGM, lifestyle inputs, biomarkers) in enhancing predictive accuracy and personalization of diabetes care.

Speaker

Rohit S Warrier, MS, DABRM, MSc, EBEEDM
Senior, Fellow, International Diabetes Federation

Moderator

Maria Bettini, PhD
Professor of Pathology, University of Utah

Summary

Availability:

Registration Required

Expires on Dec 30, 2026

Location:

Online Meeting

Date / Time:

Feb 27, 2026 7:00 PM - 8:00 PM ET

Cost:

FREE

Credit Offered:

No Credit Offered

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