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

Autor: Ernst AU; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Wang LH; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA. hiwang@ustc.edu.cn.; Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei, Anhui, China. hiwang@ustc.edu.cn., Worland SC; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Marfil-Garza BA; Department of Surgery, University of Alberta, Edmonton, AB, Canada., Wang X; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Liu W; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Chiu A; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Kin T; Department of Surgery, University of Alberta, Edmonton, AB, Canada.; Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada., O'Gorman D; Department of Surgery, University of Alberta, Edmonton, AB, Canada.; Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada., Steinschneider S; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Datta AK; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA., Papas KK; Department of Surgery, University of Arizona, Tucson, AZ, USA., James Shapiro AM; Department of Surgery, University of Alberta, Edmonton, AB, Canada.; Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada., Ma M; Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA. mm826@cornell.edu.

Publikováno v: Nature communications [Nat Commun] 2022 Oct 13; Vol. 13 (1), pp. 6031. Date of Electronic Publication: 2022 Oct 13.