most citedDeep learning for in vitro prediction of pharmaceutical formulations

179 citations · 492 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2020★ 16 cited

Super-Necking Crystal Growth and Structural and Magnetic Properties of SrTbO Single Crystals

Si Wu, Yinghao Zhu, Haoshi Gao +8

We report on single-crystal growths of the SrTbO compound by a super-necking technique with a laser-floating-zone furnace and study the stoichiometry, growth mode, and stru…

cond-mat.str-el2020★ 21 cited

Crystalline and magnetic structures, magnetization, heat capacity and anisotropic magnetostriction effect in a yttrium-chromium oxide

Yinghao Zhu, Ying Fu, Bao Tu +11

We have studied a nearly stoichiometric insulating YCrO single crystal by performing measurements of magnetization, heat capacity, and neutron d…

cond-mat.str-el2020★ 26 cited

High-temperature magnetism and crystallography of a YCrO single crystal

Yinghao Zhu, Si Wu, Bao Tu +9

Magnetization measurements and time-of-flight neutron powder-diffraction studies on the high-temperature (300--980 K) magnetism and crystal structure (321--1200 K) of a pulverized…

cs.LG2018★ 125 cited

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

Zhuyifan Ye, Yilong Yang, Xiaoshan Li +2

Background: Pharmacokinetic evaluation is one of the key processes in drug discovery and development. However, current absorption, distribution, metabolism, excretion prediction mo…

cs.LG2018★ 179 cited

Deep learning for in vitro prediction of pharmaceutical formulations

Yilong Yang, Zhuyifan Ye, Yan Su +3

Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error approach by individual experiences of pharmaceutical scientists, which is la…

cs.SE2018★ 34 cited

MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture

Yilong Yang, Quan Zu, Peng Liu +2

This paper takes up the problem of medical resource sharing through MicroService architecture without compromising patient privacy. To achieve this goal, we suggest refactoring the…