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...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2019-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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