Amanda Paulson of Frederick National Laboratory for Cancer Research won her poster session for the Informatics category at the US Army/NCI Spring Research Festival!
Amanda and her colleagues, Huy Ngo, Sook Wah Yee, Grace Pohan, Amos Espinosa, Kathy Giacomini and Michelle Arkin at University of California San Francisco and Kevin McLoughlin at Lawrence Livermore National Laboratory, make up ATOM’s Drug Induced Liver Injury (DILI) team, a collaborative effort that spans wet lab experimentation and in silico modeling. They are developing the largest public DILI dataset to date, made up of cellular images and other in vitro measurements that reveal phenotypes caused by hundreds of drugs associated with DILI. In tandem, the team builds predictive DILI machine learning models based on the rich, multiparametric data. Amanda’s poster highlights their preliminary results of combining both biological and chemical information in order to predict DILI, showing that the combination results in superior predictivity compared to chemical information alone. The DILI team’s work will ultimately help ATOM to design safer new drugs.
Explore Amanda’s Poster Here!
