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UVA Artificial Pancreas Employs Digital Twin to Advance Diabetes Control

Research will assess long-term benefits across delivery platforms after participants saw increased time in range alongside reduced A1c.

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Boris Kovatchev, PhD, is director of the UVA Center for Diabetes Technology.
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Overview

  • UVA’s system uses Adaptive Biobehavioral Control to optimize insulin delivery every two weeks and features a personalized digital twin simulation for treatment testing.
  • The six-month trial showed a rise in time in target blood glucose range from 72% to 77% and a drop in average hemoglobin A1c from 6.8% to 6.6%.
  • Participants can experiment with insulin dosing scenarios in a safe virtual environment before making real-world adjustments to their artificial pancreas.
  • The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases under grant RO1 DK085623.
  • Next research will explore the technology’s applicability across age groups, different automated insulin delivery platforms and the sustainability of observed benefits.