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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-33760-5 |
| _version_ | 1817983951208185856 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Alexander U. Ernst |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T23:38:40Z |
| format | Article |
| id | doaj.art-1a9adbcc80c7442e8935f64bbb94e3f8 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-13T23:38:40Z |
| publishDate | 2022-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-1a9adbcc80c7442e8935f64bbb94e3f82022-12-22T02:24:36ZengNature PortfolioNature Communications2041-17232022-10-0113111810.1038/s41467-022-33760-5A predictive computational platform for optimizing the design of bioartificial pancreas devicesAlexander U. Ernst0Long-Hai Wang1Scott C. Worland2Braulio A. Marfil-Garza3Xi Wang4Wanjun Liu5Alan Chiu6Tatsuya Kin7Doug O’Gorman8Scott Steinschneider9Ashim K. Datta10Klearchos K. Papas11A. M. James Shapiro12Minglin Ma13Biological and Environmental Engineering, Cornell UniversityBiological and Environmental Engineering, Cornell UniversityBiological and Environmental Engineering, Cornell UniversityDepartment of Surgery, University of AlbertaBiological and Environmental Engineering, Cornell UniversityBiological and Environmental Engineering, Cornell UniversityBiological and Environmental Engineering, Cornell UniversityDepartment of Surgery, University of AlbertaDepartment of Surgery, University of AlbertaBiological and Environmental Engineering, Cornell UniversityBiological and Environmental Engineering, Cornell UniversityDepartment of Surgery, University of ArizonaDepartment of Surgery, University of AlbertaBiological and Environmental Engineering, Cornell UniversityTransplanting 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.https://doi.org/10.1038/s41467-022-33760-5 |
| spellingShingle | 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 A predictive computational platform for optimizing the design of bioartificial pancreas devices Nature Communications |
| title | A predictive computational platform for optimizing the design of bioartificial pancreas devices |
| title_full | A predictive computational platform for optimizing the design of bioartificial pancreas devices |
| title_fullStr | A predictive computational platform for optimizing the design of bioartificial pancreas devices |
| title_full_unstemmed | A predictive computational platform for optimizing the design of bioartificial pancreas devices |
| title_short | A predictive computational platform for optimizing the design of bioartificial pancreas devices |
| title_sort | predictive computational platform for optimizing the design of bioartificial pancreas devices |
| url | https://doi.org/10.1038/s41467-022-33760-5 |
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