Our Works in 2022

This repository summarizes the works by Mizuno Group in 2022.

Content

• EDmodel
  • Investigation of chemical structure recognition by encoder-decoder models in learning progress
• NRBdMF
  • NRBdMF: A Recommendation Algorithm for Predicting Drug Effects Considering Directionality
• AE_prediction
  • Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning

Member

• Katsuhisa Morita
• Shumpei Nemoto
• Iori Azuma
• Takumi Iwasaka
• Yasuhiro Yoshikai
• Tadahaya Mizuno*
  • correspondence

Almuni

• Shotaro Maedera

Contact

Principal Investigator

• Tadahaya Mizuno
• Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo
• email
  • tadahaya[at]gmail.com
  • tadahaya[at]mol.f.u-tokyo.ac.jp