Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology
Extracorporeal organ perfusion, in which organs are preserved in an isolated, ex vivo environment over an extended time-span, is a concept that has led to the development of numerous alternative preservation protocols designed to better maintain organ viability prior to transplantation. These protoc...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/5/4/46 |
| _version_ | 1811204042886479872 |
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| author | David Sadowsky Andrew Abboud Anthony Cyr Lena Vodovotz Paulo Fontes Ruben Zamora Yoram Vodovotz |
| author_facet | David Sadowsky Andrew Abboud Anthony Cyr Lena Vodovotz Paulo Fontes Ruben Zamora Yoram Vodovotz |
| author_sort | David Sadowsky |
| collection | DOAJ |
| description | Extracorporeal organ perfusion, in which organs are preserved in an isolated, ex vivo environment over an extended time-span, is a concept that has led to the development of numerous alternative preservation protocols designed to better maintain organ viability prior to transplantation. These protocols offer researchers a novel opportunity to obtain extensive sampling of isolated organs, free from systemic influences. Data-driven computational modeling is a primary means of integrating the extensive and multivariate data obtained in this fashion. In this review, we focus on the application of dynamic data-driven computational modeling to liver pathophysiology and transplantation based on data obtained from ex vivo organ perfusion. |
| first_indexed | 2024-04-12T03:04:46Z |
| format | Article |
| id | doaj.art-56e467e02055462da9abf03c28e38f9d |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-04-12T03:04:46Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-56e467e02055462da9abf03c28e38f9d2022-12-22T03:50:31ZengMDPI AGComputation2079-31972017-11-01544610.3390/computation5040046computation5040046Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and PathobiologyDavid Sadowsky0Andrew Abboud1Anthony Cyr2Lena Vodovotz3Paulo Fontes4Ruben Zamora5Yoram Vodovotz6Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USADepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USAExtracorporeal organ perfusion, in which organs are preserved in an isolated, ex vivo environment over an extended time-span, is a concept that has led to the development of numerous alternative preservation protocols designed to better maintain organ viability prior to transplantation. These protocols offer researchers a novel opportunity to obtain extensive sampling of isolated organs, free from systemic influences. Data-driven computational modeling is a primary means of integrating the extensive and multivariate data obtained in this fashion. In this review, we focus on the application of dynamic data-driven computational modeling to liver pathophysiology and transplantation based on data obtained from ex vivo organ perfusion.https://www.mdpi.com/2079-3197/5/4/46transplantationextracorporeal organ perfusioncomputational modeling |
| spellingShingle | David Sadowsky Andrew Abboud Anthony Cyr Lena Vodovotz Paulo Fontes Ruben Zamora Yoram Vodovotz Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology Computation transplantation extracorporeal organ perfusion computational modeling |
| title | Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology |
| title_full | Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology |
| title_fullStr | Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology |
| title_full_unstemmed | Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology |
| title_short | Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology |
| title_sort | dynamic data driven modeling for ex vivo data analysis insights into liver transplantation and pathobiology |
| topic | transplantation extracorporeal organ perfusion computational modeling |
| url | https://www.mdpi.com/2079-3197/5/4/46 |
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