We now have the ability to develop apps that can access smartphone sensor readings
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.
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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.
Dr. Bill Byrom, PhD
Senior Director, Product Innovation, ICON
Bill serves as a Senior Director within Product Innovation at ICON, focusing on harnessing new technologies for clinical trials. He has worked in the Pharma industry for over 25 years and is the author of 60+ publications and an industry textbook on electronic Patient Reported Outcomes. Bill contributes to the C-PATH ePRO Consortium and the eClinical Forum. He holds a PhD in disease simulation.
Christian Gossens, PhD MBA
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) organization. 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.
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.