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  5. Smartphone Sensors to Measure Novel Health Outcomes

Smartphone Sensors to Measure Novel Health Outcomes

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We now have the ability to develop apps that can access smartphone sensor readings

  • Date 2 November 2016
    Time 13:00 - 14:00
    Location Webinar
    Timezone Europe/Lisbon

    This webinar explores the novel uses of smartphone sensor measurement in the areas of health, wellness and clinical research and appraises the promise of these approaches in clinical trials.

On-Demand Webinar Archive

To access the archived recording of this webinar, visit our webinar channel and complete a one time only form. This will give you access to our entire library of archived webinars.

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Overview

There has been a proliferation of sensors and components contained in modern smartphones. We have arrived at an exciting inflection point to use the increasingly ubiquitous smartphone as a platform to measure a variety of novel health-related endpoints that may have value in clinical trials. 

Key insights include:

  • The sensors contained in modern smartphones and review of validation studies leveraging these to measure health outcomes.
  • Development of performance tests and passive monitoring for Parkinson’s Disease within a smartphone application. 
  • The use of artificial intelligence algorithms to assist in mobile face analysis for mental and developmental health screening. 

Featured Speakers

Global Head of Early Development Workflows, F. Hoffmann-La Roche

Christian leads the Early Development Workflow team in Roche’s Research and Early Development Informatics (pREDi) organisation. He drives technology innovation into clinical trials with particular focus on adoption of mobile sensors for digital biomarker development and digital media for patient and investigator recruitment and engagement. He had joined Roche as a director in the Emerging Technologies team - identifying game changing trends in the pharma Omics & Digital Health space and developing strategies to act on those. Now he is implementing them.

Professor Guillermo Sapiro, PhD

Electrical and Computer Engineering, Duke University

Guillermo is currently Edmund T. Pratt, Jr. School Professor with Duke University and works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.  After post-doctoral research at MIT, he became a member of the Technical Staff at the research facilities of HP Labs in Palo Alto, California. He has also worked at the Dept of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering.  Guillermo received his summa cum laude and Ph.D. from the Dept. Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively.

Target audience

This program is designed for clinical development leaders with the aim of providing insight into potential standards to maximise the value of leveraging smartphone sensors. 

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