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Deep learning for in vitro prediction of pharmaceutical formulations
Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly. Recently, deep learning has been widely applied in many challenging domains because of its important ca...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362259/ https://www.ncbi.nlm.nih.gov/pubmed/30766789 http://dx.doi.org/10.1016/j.apsb.2018.09.010 |