Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909889104707584 |
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| author | Ryhiner, Marc Song, Yangmeihui Saboury, Babak Glatting, Gerhard Rahmim, Arman Shi, Kuangyu |
| author_facet | Ryhiner, Marc Song, Yangmeihui Saboury, Babak Glatting, Gerhard Rahmim, Arman Shi, Kuangyu |
| contents | This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer patient prognosis through personalized radiopharmaceutical therapies (RPTs). It outlines potential clinical applications of TDTs and proposes a roadmap for successful implementation. Additionally, the chapter provides a conceptual overview of the current state of the art in the mathematical and computational modeling of RPTs, highlighting key challenges and the strategies being pursued to address them. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_03755 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins Ryhiner, Marc Song, Yangmeihui Saboury, Babak Glatting, Gerhard Rahmim, Arman Shi, Kuangyu Other Quantitative Biology This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer patient prognosis through personalized radiopharmaceutical therapies (RPTs). It outlines potential clinical applications of TDTs and proposes a roadmap for successful implementation. Additionally, the chapter provides a conceptual overview of the current state of the art in the mathematical and computational modeling of RPTs, highlighting key challenges and the strategies being pursued to address them. |
| title | Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins |
| topic | Other Quantitative Biology |
| url | https://arxiv.org/abs/2511.03755 |