Predicting Oral Disintegrating Tablet Formulations by Neural Network Techniques

no code implementations • 14 Mar 2018 • Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang

ANN and DNN were compared for the prediction of the disintegrating time.

Small Data Image Classification

Deep learning for in vitro prediction of pharmaceutical formulations

no code implementations • 6 Sep 2018 • Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang

In summary, deep learning with the automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was firstly developed for the prediction of pharmaceutical formulations.

BIG-bench Machine Learning

An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

no code implementations • 21 Dec 2018 • Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dongsheng Cao, Defang Ouyang

Conclusions: The integrated transfer learning and multitask learning approach with the improved dataset splitting algorithm was firstly introduced to predict the pharmacokinetic parameters.

Drug Discovery Parameter Prediction +1

Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs

no code implementations • 15 Oct 2021 • Ryan Jacobs, Mingren Shen, YuHan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan

In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional Neural Network (Mask R-CNN) model.

object-detection Object Detection +1