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

HIGHLIGHTS

• who: Alexander U. Ernst from the respectively, where u03b1>, is the shape parameter and u03b2>, is the scale parameter for each type of distribution (Supplementary Fig2)23. On this basis, we assumed that the diameters of islets were continuous random variables given by one of these distribution types. Isolations from mice, rats, juvenile pigs, humans, and SC-u03b2s produced from Novo Nordisk (NN SC-u03b2s) and the Professor Jeffrey Millman group at Washington University in St. Louis (WU SC-u03b2s) were imaged and the islet sizes were measured. Because most islet morphologies are not perfectly spherical, we . . .
  

   

  

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