Sylvia Plevritis's guest appearances

Sylvia Plevritis

The Future of Everything presented by Stanford Engineering

Stanford Radio

Rafael Pelayo

Andrew Huberman

David Eagleman

Pat Brown

Chelsea Finn

Chris Gerdes

Daphne Koller

John Markoff

Michael O'Sullivan

David Miller

Alex Stamos

Jeremy Bailenson

Jeffrey Pfeffer

Jennifer Granick

Robert Reich

OwlTail

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 and when additional screening or risk-reducing interventions are warranted. Join host Russ Altman and biomedical data scientist Sylvia Plevritis as they dive into the promising intersection of computers and cancer care. You can listen to The Future of Everything on Sirius XM Insight Channel 121, iTunes, Google Play, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.

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 and when additional screening or risk-reducing interventions are warranted. Join host Russ Altman and biomedical data scientist Sylvia Plevritis as they dive into the promising intersection of computers and cancer care. You can listen to The Future of Everything on Sirius XM Insight Channel 121, iTunes, Google Play, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.

Sylvia Plevritis: Better cancer treatment through data

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 and when additional screening or risk-reducing interventions are warranted.Originally aired on SiriusXM on June 29, 2019.Recorded at Stanford Video.

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 and when additional screening or risk-reducing interventions are warranted. Originally aired on SiriusXM on June 29, 2019. Recorded at Stanford Video.

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