Merck - Drug Interaction Prediction
Open for Registration
  • Lecture time: Friday: 09:30:00 - 10:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Database, data mining, NLP
  • Tools: Graph Neural Network, Python, Pytorch
  • Citizenship: Open to all students
Summary

Drug-drug interactions (DDIs) occur when the effect of one drug is altered by another drug. It is important to predict DDIs to avoid adverse drug reactions and improve patient safety. This proposal is to improve DDI prediction through database construction and model development.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Merck (Drug Interaction Prediction)' in the Note section, and select the appropriate CRN.