A high-throughput system combining microfluidic hydrogel droplets with deep learning for screening the antisolvent-crystallization conditions of active pharmaceutical ingredients
Zhenning Su(First Affiliated Hospital of Guangzhou University of Chinese Medicine), Jianhua Zhou(Sun Yat-sen University), Jinxu He(Sun Yat-sen University), Peipei Zhou(St. Jude Children's Research Hospital), Lü Huang(Sun Yat-sen University)
Cited by 37
Related Papers
Caffeine
|Unknown|2016|300
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks
|IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems|2018|268
mTOR signaling at the crossroads of environmental signals and T‐cell fate decisions
|Immunological Reviews|2020|188