Big data and precision health

By | November 8, 2017
Doctor holding iPad showing medical record

(NEC Corporation of America with CC license/flckr)

An army of U-M scientists and engineers is part of an effort, known broadly as precision health, that aims to help doctors customize treatments to individual patients’ genetic makeup, lifestyle, and risk factors, and predict outcomes with significantly higher accuracy.

One major branch of precision health is the development of big-data tools to customize treatments. Experts envision a future in which doctors and hospitals can draw on a web of constantly churning analytical tools that mash up data from a huge variety of sources in real time, giving them the ability to make meticulously informed decisions based on an analysis of a patient’s entire medical history.

Currently, there are hundreds of precision health research projects at U-M focused on a broad range of topic areas. To learn more about the scope of this work, view the projects, feature stories, and news highlighted on the U-M Precision Health site.