Artificial Intelligence in Biomedical Research

Access to big data and an increase in computation power through artificial intelligence and machine learning is changing the landscape of biomedical research. How are these new tools used and how are they leading to new discoveries? Are they able to make drug discovery cheaper, faster, and safer? What are the ethics of using these tools?

Ian Macara, Ph.D., chair and professor of the Department of Cell and Developmental Biology, moderated this monthly Lab-to-Table Conversation from the Vanderbilt University School of Medicine Basic Sciences delving into these questions with panelists:

Andre Bastos, Ph.D. – an assistant professor of psychology who uses computational modeling to unravel how the brain builds predictions,

Shannon Smith – a Ph.D. student in the lab of Jens Meiler who uses machine learning for drug development, and

Jesse Spencer-Smith, PhD – Chief Data Scientist at the Vanderbilt Data Science Institute.