Because of the proliferation of sensors and components contained in modern smartphones, and the ability to develop apps that can access smartphone sensor readings by leveraging the open development capabilities of the main platforms, we have arrived at an exciting inflection point in our ability 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. We see this already in some of the published developments using Apple Research Kit and other Android platforms.
This webinar explores this innovative area and the associated benefits by illustrating key work in the field. It will provide an overview of 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.
Three broad areas will be covered:
- 1. The sensors contained in modern smartphones and review validation studies leveraging these sensors to measure health outcomes.
- 2. The development of performance tests and passive monitoring for Parkinson’s Disease within a smartphone application. Christian Gossens will present data and experience in using this approach within clinical research conducted by Roche.
- 3. The use of artificial intelligence algorithms to assist in mobile face analysis for mental and developmental health screening, with specific application to autism spectrum disorders.
Dr. Bill Byrom, PhD, Senior Director, Product Innovation ICON
Bill’s focus is 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. Bill can be reached at email@example.com and via LinkedIn and Twitter (@billbyrom).
Christian Gossens, PhD, MBA, Global Head of Early Development Workflows, F. Hoffmann-La Roche Ltd
Christian is leading the Early Development Workflow team in Roche’s Research and Early Development Informatics (pREDi) organization. He is driving technology innovation into clinical trials. His focus is 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 the Edmund T. Pratt, Jr. School Professor with Duke University. He 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.
He was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences. Guillermo received his summa cum laude and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, he became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He has also been with the Department 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 was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. G. Sapiro is a Fellow of IEEE and SIAM.
Who Should Attend?
This program is intended for leaders in clinical development programs, clinical research scientists with the aim of providing insight into the development of standards to maximise the value of leveraging smartphone sensors.
- Medical Device
- VPs and Senior Directors of Clinical Development
- Health outcomes researchers
ICON Commercialisation & Outcomes optimises the value of drugs and medical devices through innovative strategies and tactics that reflect evolving evidentiary, regulatory, and reimbursement requirements. Our expert team establishes and communicates a product’s unique clinical and economic outcomes to achieve success in today’s dynamic and patient-centric healthcare environment.
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