Future of Personal Health Monitoring – From Research to Practice. Insights from Stanford University

Join us LIVE on June 30th, 6pm CEST for a WT | Studio live event together with Stanford University.

Listen to Michael Snyder, PhD,  Susie Spielman, and Pablo Paredes, PhD. Moderated by Angela McIntyre (eWear Initiative)

Tune in below:

 

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Michael Snyder Professor & Chair of Genetics, Director, Stanford Center for Genomics & Personalized Medicine

Michael Snyder is the Stanford Ascherman Professor and Chair of Genetics and the Director of the Center of Genomics and Personalized Medicine. Snyder received his PhD training at the California Institute of Technology and carried out postdoctoral training at Stanford University. He is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism and has developed many technologies in genomics and proteomics. These including the development of proteome chips, high resolution tiling arrays for the entire human genome, methods for global mapping of transcription factor binding sites (ChIP-chip now replaced by ChIP-seq), paired end sequencing for mapping of structural variation in eukaryotes, de novo genome sequencing of genomes using high throughput technologies and RNA-Seq. These technologies have been used for characterizing genomes, proteomes and regulatory networks. Seminal findings from the Snyder laboratory include the discovery that much more of the human genome is transcribed and contains regulatory information than was previously appreciated, and a high diversity of transcription factor binding occurs both between and within species. He has also combined different state-of–the-art “omics” technologies to perform the first longitudinal detailed integrative personal omics profile (iPOP) of person and used this to assess disease risk and monitor disease states for precision health and medicine. He is a cofounder of a number biotechnology companies, including Personalis, Qbio, January, Filtricine, Mirvie, and SensOmics and he presently serves on the advisory board of a number of companies

 

Susie Spielman, Senior Director, Strategic Programs and Projects, Stanford Medicine

Susie has over two decades of experience in life sciences research and education, healthcare, and medical imaging. As Senior Director of Strategic Programs for Stanford’s Department of Radiology, she has built cross-functional programs and bridged senior leaders’ vision with tactical execution. She is a program lead in the development and launch of the collaborative Verily/Google-Duke-Stanford Project Baseline. She has established global educational programs in medical imaging and fostered high-impact strategic research relationships with industry partners to leverage Stanford Radiology’s comprehensive expertise in clinical medical imaging. Susie has also developed award-winning educational, clinical, and laboratory environments

 

Pablo Paredes, PhD, Clinical Assistant Professor of Psychiatry and Behavioral Sciences, Stanford University

With the advent of ubiquitous computing, precision health, defined as the practice of personalized health, promises a future where we can prevent disease and maximize wellbeing. To succeed, we must engage healthy individuals to comply with continuous monitoring and behavior change. In this talk, I focus on the challenge of engineering precision health approaches in mundane environments by leveraging concepts from affective and embedded computing, behavioral economics, and human-centered design. I will discuss in depth flagship projects on stress management: a) repurposing existing devices into “sensorless” stress sensors, and b) minimal transformation of car, office furniture and wearables. I will close with a vision of the future of precision health engineering where affordable design and machine learning can drive long-term behavior change. I will quickly describe some forward-looking exploratory projects to help improve people’s health by recommending personalized interventions that are very easy to use, that defeat novelty effects, and that can even operate at a subconscious level