Nature Communications (Oct 2022)

A predictive computational platform for optimizing the design of bioartificial pancreas devices

  • Alexander U. Ernst,
  • Long-Hai Wang,
  • Scott C. Worland,
  • Braulio A. Marfil-Garza,
  • Xi Wang,
  • Wanjun Liu,
  • Alan Chiu,
  • Tatsuya Kin,
  • Doug O’Gorman,
  • Scott Steinschneider,
  • Ashim K. Datta,
  • Klearchos K. Papas,
  • A. M. James Shapiro,
  • Minglin Ma

DOI
https://doi.org/10.1038/s41467-022-33760-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 18

Abstract

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Transplanting encapsulated insulin-producing cells may achieve a functional cure for type 1 diabetes, but efficacy is constrained by mass transfer limits. Here, the authors report a dynamic computational platform to investigate the therapeutic potency of such programmable bioartificial pancreas devices.