When computer scientist Andrew A. Radin came to Stanford University School of Medicine and enrolled in a biomedical informatics course, he was just there to learn.

For a class project, he made a software platform that used a range of different methodologies to find diseases that might be helped by already existing drugs. Each methodology had deficiencies, but by aggregating the predicted associations between drugs and disease, Radin says, he could accurately predict which drugs might be helpful for which diseases.

Source: scopeblog.stanford.edu
Author: Jennie Dusheck