Stanford Radio

The Future of Everything with Russ Altman: "Sylvia Plevritis: Better cancer treatment through data" Biomedical data scientist Sylvia Plevritis is an expert in computational modeling of cancer risk and treatment options hidden in the remarkable quantity of data available today. Rarely is a tumor made up of a single mutation, she says, but more commonly of a mix of different mutations. Such heterogenous tumors may require complex combinations of drugs to produce the most effective treatments. That’s where computers can help. Using mathematical simulations, Plevritis is helping patients and their doctors understand the genetic makeup of a given cancer for the purpose of identifying drug combinations that stand a better chance of success. Some of the models Plevritis works with can be run in an hour or less and yet return invaluable guidance that can save a patient’s life. Plevritis says these computational approaches can even help those without cancer understand their inherent genetic risks to assess whether