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Monday, June 24 • 3:30pm - 4:30pm
#157: A Large Academic Medical Center’s Perspective on Using Precision Medicine to Find Patient Disease Subgroups at Scale

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Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-19-567-L04-P; CME 1.00; IACET 1.00; RN 1.00

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 Objectives

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.

Chair

David Meyers

Speaker

Academic Perspective
Dwight Raum



Speakers
avatar for David Meyers

David Meyers

National Director, US Life Sciences, Microsoft
Dave Meyers is National Director - US Life Sciences at Microsoft; focused on strategy, business development, and the solutions portfolio in pharma, genomics and precision medicine. He joined Microsoft in 1997 - held various technical, program management, and product development positions... Read More →
avatar for Dwight Raum

Dwight Raum

Vice President and Chief Technical Officer, Johns Hopkins
Dwight Raum is Vice President and Chief Technology Officer of Johns Hopkins Health System and Johns Hopkins University. His passion lies in challenging the status quo, mobilizing teams to harness technology and championing change. Since 2016, Dwight has helped lead a precision medicine... Read More →


Monday June 24, 2019 3:30pm - 4:30pm
Room 11A San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA
  • Level Intermediate
  • Featured Topics Regulator Thinking
  • Featured Topics Real World Evidence,Artificial Intelligence,Precision Medicine,Student Programming
  • Credit Type ACPE, CME, IACET, RN
  • Tags Session