Deep learning for in vitro prediction of pharmaceutical formulations

• Main Authors: Yilong Yang (Author), Zhuyifan Ye (Author), Yan Su (Author), Qianqian Zhao (Author), Xiaoshan Li (Author), Defang Ouyang (Author)
• Format: Book
• Published: Elsevier, 2019-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...