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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-01-01
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| Series: | Acta Pharmaceutica Sinica B |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221138351830282X |