Meaningful Deep/Machine Learning in Medicine – Stanford Medicine Big Data | Precision Health 2018
Precision Health is a fundamental shift to more proactive and personalized health care that empowers people to lead healthy lives. It is in this spirit of possibility and promise that Stanford Medicine hosted the sixth year of this conference in 2018, bringing together international researchers and leaders from academia, health care, government, and industry to develop actionable steps for improving human health.
Panelists on a panel about meaningful use of deep/machine learning in medicine included:
* Katherine Chou, Google
* Kevin Lyman, Enlitic
* Jenna Wiens, University of Michigan
* Natalie Pageler, Stanford
Moderator: Serena Yeung, Stanford
For more information, visit: https://bigdata.stanford.edu/
Precision Health is a fundamental shift to more proactive and personalized health care that empowers people to lead healthy lives. It is in this spirit of possibility and promise that Stanford Medicine hosted the sixth year of this conference in 2018, bringing together international researchers and leaders from academia, health care, government, and industry to develop actionable steps for improving human health.
Panelists on a panel about meaningful use of deep/machine learning in medicine included:
* Katherine Chou, Google
* Kevin Lyman, Enlitic
* Jenna Wiens, University of Michigan
* Natalie Pageler, Stanford
Moderator: Serena Yeung, Stanford
For more information, visit: https://bigdata.stanford.edu/
