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Reinforcement learning derived chemotherapeutic schedules for robust patient-specific therapy
The in-silico development of a chemotherapeutic dosing schedule for treating cancer relies upon a parameterization of a particular tumour growth model to describe the dynamics of the cancer in response to the dose of the drug. In practice, it is often prohibitively difficult to ensure the validity o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429726/ https://www.ncbi.nlm.nih.gov/pubmed/34504141 http://dx.doi.org/10.1038/s41598-021-97028-6 |