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A Large Academic Medical Center’s Perspective on Using Precision Medicine to Find Patient Disease Subgroups at Scale
Session Chair(s)
David Meyers
National Director Life Sciences, US Health and Life Sciences
Microsoft, United States
Hear how scientists and physicians at Johns Hopkins Medicine in Baltimore and Microsoft collect and tap vast amounts of data from clinical care, genomics, and wearable devices, to better predict disease progression and pinpoint individual treatments.
Learning Objective : Describe using data analytics, machine learning, and precision medicine, how to distinguish, analyze, and reclassify disease based on subgroups; Identify the best prognosis for patients using these tools; Describe how to better predict disease progression and pinpoint individual treatments.
Speaker(s)
Academic Perspective
Dwight Raum
Johns Hopkins, United States
Vice President and Chief Technical Officer