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

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

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 devi...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33760-5

Internet

https://doi.org/10.1038/s41467-022-33760-5

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