A multidisciplinary approach towards modeling of a virtual human lung
Abstract Integrating biological data with in silico modeling offers the transformative potential to develop virtual human models, or “digital twins.” These models hold immense promise for deepening our understanding of diseases and uncovering new therapeutic strategies. This approach is especially v...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | npj Systems Biology and Applications |
| Online Access: | https://doi.org/10.1038/s41540-025-00517-x |
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| _version_ | 1849699175414890496 |
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| author | Timothy Lam Henry T. Quach Lauren Hall Maria Abou Chakra Amy P. Wong |
| author_facet | Timothy Lam Henry T. Quach Lauren Hall Maria Abou Chakra Amy P. Wong |
| author_sort | Timothy Lam |
| collection | DOAJ |
| description | Abstract Integrating biological data with in silico modeling offers the transformative potential to develop virtual human models, or “digital twins.” These models hold immense promise for deepening our understanding of diseases and uncovering new therapeutic strategies. This approach is especially valuable for diseases lacking reliable models. Here we review current modelling efforts in of human lung development, highlighting the role of interdisciplinary collaboration and key advances toward a digital lung twin. |
| format | Article |
| id | doaj-art-2f3cd2596c234594b945bfde6c3cd2af |
| institution | DOAJ |
| issn | 2056-7189 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Systems Biology and Applications |
| spelling | doaj-art-2f3cd2596c234594b945bfde6c3cd2af2025-08-20T03:18:41ZengNature Portfolionpj Systems Biology and Applications2056-71892025-04-011111810.1038/s41540-025-00517-xA multidisciplinary approach towards modeling of a virtual human lungTimothy Lam0Henry T. Quach1Lauren Hall2Maria Abou Chakra3Amy P. Wong4Program in Developmental, Stem cell and Cancer Biology, Hospital for Sick Children, PGCRL 16-9420Program in Developmental, Stem cell and Cancer Biology, Hospital for Sick Children, PGCRL 16-9420Program in Developmental, Stem cell and Cancer Biology, Hospital for Sick Children, PGCRL 16-9420Donnelly Centre for Cellular and Biomedical Research, University of TorontoProgram in Developmental, Stem cell and Cancer Biology, Hospital for Sick Children, PGCRL 16-9420Abstract Integrating biological data with in silico modeling offers the transformative potential to develop virtual human models, or “digital twins.” These models hold immense promise for deepening our understanding of diseases and uncovering new therapeutic strategies. This approach is especially valuable for diseases lacking reliable models. Here we review current modelling efforts in of human lung development, highlighting the role of interdisciplinary collaboration and key advances toward a digital lung twin.https://doi.org/10.1038/s41540-025-00517-x |
| spellingShingle | Timothy Lam Henry T. Quach Lauren Hall Maria Abou Chakra Amy P. Wong A multidisciplinary approach towards modeling of a virtual human lung npj Systems Biology and Applications |
| title | A multidisciplinary approach towards modeling of a virtual human lung |
| title_full | A multidisciplinary approach towards modeling of a virtual human lung |
| title_fullStr | A multidisciplinary approach towards modeling of a virtual human lung |
| title_full_unstemmed | A multidisciplinary approach towards modeling of a virtual human lung |
| title_short | A multidisciplinary approach towards modeling of a virtual human lung |
| title_sort | multidisciplinary approach towards modeling of a virtual human lung |
| url | https://doi.org/10.1038/s41540-025-00517-x |
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