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Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles
Everolimus is an immunosuppressant with a small therapeutic index and large between‐patient variability. The area under the concentration versus time curve (AUC) is the best marker of exposure but measuring it requires collecting many blood samples. The objective of this study was to train machine l...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381914/ https://www.ncbi.nlm.nih.gov/pubmed/35599364 http://dx.doi.org/10.1002/psp4.12810 |