Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Large-scale multi-modal information on patients’ health is ever increasing, providing an opportunity to use big data for taking individualized medicine to a global scale.
Healthcare is an imperfect practice, with disparities in care reflecting those in society. While algorithms may be misued to amplify biases, they may also be used to identify and correct disparities.
Xiling Shen is the Hawkins Family Associate Professor of Biomedical Engineering and director of the Woo Center for Big Data and Precision Health at Duke University. He is a National Science Foundation early-career awardee, chair of the National Cancer Institute’s Patient-Derived Models of Cancer consortium and an Israeli faculty fellow.
As medical students, we have a responsibility to our future patients, but our training is not preparing us for healthcare provision in the era of climate change, say Areeb Mian and Shujhat Khan.