Machine Learning as a Catalyst to Understand the Impact of Chronic Itch

Machine Learning as a Catalyst to Understand the Impact of Chronic Itch

Event Details

02/24/2021

Dermatology Transformative Innovation Webinar

Presented By: Dina Katabi, PhD, MS& Brian S. Kim, MD, MTR, FAAD

Our first Dermatology Transformative Innovation webinar featured Dina Katabi, PhD, MS of MIT’s Center for Wireless Networks and Mobile Computing & Brian S. Kim, MD, MTR, FAAD, Associate Professor of Medicine at Washington University School of Medicine as we explore the use of a machine-learning and wireless-based innovative device “Emerald”, as a way to more accurately quantify itch.

Webinar Takeaways:

  • See how breakthrough discoveries can be translated into practice and into impactful and innovative products to substantially improve health.
  • Learn about a powerful technology that can provide a robust new solution for a disease in need of measurable and meaningful clinical endpoints.

Who Should Attend?

  • Physicians
  • Engineers
  • Scientists
  • Product Development Organizations
  • Government Officials & Regulators

 

Screen Shot 2022-06-24 at 9.16.24 AM

Dina Katabi, PhD, MS

Andrew & Erna Viterbi Professor

Electrical Engineering and Computer Science,
Massachusetts Institute of Technology
Director
MIT's Center for Wireless Networks and Mobile Computing
Screen Shot 2022-06-24 at 9.17.23 AM-1

Brian S. Kim, MD MTR, FAAD

Co-Director

Center for the Study of Itch & Sensory Disorders
Associate Professor Of Medicine
Division Of Dermatology, Department of Medicine,
Washington University School of Medicine