Big Data has transformed the way that business is conducted in recent years, from Internet-based startups to blue chip standbys such as IBM and Wal-mart. However, many of the machine learning tools that have enabled this transformation are not capable of solving complex biomedical problems, which often have their own sophisticated vocabulary and data standards. In today’s podcast, we’ll learn about research at Rice which seeks to use task-specific machine learning to assist biomedical researchers in discovering and verifying drug interactions.