Challenges and opportunities for the next generation of computational tumor models.
Mathematical models have become essential tools for exploring the complex interplay between cancer cells and their microenvironment, but require multidisciplinary expertise and abundant biological data to develop. AI is leading the way towards the next wave of tumor models.
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-07-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.3003269 |
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| _version_ | 1849771558430572544 |
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| author | Lance L Munn Rakesh K Jain |
| author_facet | Lance L Munn Rakesh K Jain |
| author_sort | Lance L Munn |
| collection | DOAJ |
| description | Mathematical models have become essential tools for exploring the complex interplay between cancer cells and their microenvironment, but require multidisciplinary expertise and abundant biological data to develop. AI is leading the way towards the next wave of tumor models. |
| format | Article |
| id | doaj-art-4cb119675dfa47efa22a815618ac6bbb |
| institution | DOAJ |
| issn | 1544-9173 1545-7885 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj-art-4cb119675dfa47efa22a815618ac6bbb2025-08-20T03:02:36ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852025-07-01237e300326910.1371/journal.pbio.3003269Challenges and opportunities for the next generation of computational tumor models.Lance L MunnRakesh K JainMathematical models have become essential tools for exploring the complex interplay between cancer cells and their microenvironment, but require multidisciplinary expertise and abundant biological data to develop. AI is leading the way towards the next wave of tumor models.https://doi.org/10.1371/journal.pbio.3003269 |
| spellingShingle | Lance L Munn Rakesh K Jain Challenges and opportunities for the next generation of computational tumor models. PLoS Biology |
| title | Challenges and opportunities for the next generation of computational tumor models. |
| title_full | Challenges and opportunities for the next generation of computational tumor models. |
| title_fullStr | Challenges and opportunities for the next generation of computational tumor models. |
| title_full_unstemmed | Challenges and opportunities for the next generation of computational tumor models. |
| title_short | Challenges and opportunities for the next generation of computational tumor models. |
| title_sort | challenges and opportunities for the next generation of computational tumor models |
| url | https://doi.org/10.1371/journal.pbio.3003269 |
| work_keys_str_mv | AT lancelmunn challengesandopportunitiesforthenextgenerationofcomputationaltumormodels AT rakeshkjain challengesandopportunitiesforthenextgenerationofcomputationaltumormodels |