The Mobilize Center organized the thematic session on “Data Science in Biomechanics” at the 26th Congress of the International Society of Biomechanics (ISB) in July. The thematic session generated a lot of interest with over 160 people in attendance. The talks highlighted various data science topics including: 1) how large data from wearables, clinics, and research labs are leading to new actionable insights, and 2) how data science tools can help generate new knowledge that conventional statistical methods may miss.
- Slides: “The Mobilize Center: Accelerating Movement Science with Big Data” by Eni Halilaj
- Slides: “Transforming Gait Research: Advancing a Worldwide Research Network and Biomechanical Database” by Sean Osis and Reed Ferber
- Slides: “Long-term Monitoring of Lower Limb Joint Loads Using Wearable Sensors: Application in Sports and Orthopaedics” by Thor Besier, et al.
Mobilize Center postdoc Łukasz Kidziński is co-organizing the first annual eWear student symposium taking place Thursday September 7, 2017 at Stanford University. This one day symposium will highlight research on the impact of wearable technology and inspire discussion, generation of ideas, and opportunities for collaboration. Keynote speakers include: Dr. Bill Liu, Founder and CEO of Royole Corporation; Michael S. Eggleston from Bell Labs; and Hind Hobeika, inventor and developer of the first version of Instabeat. Mobilize Center graduate students Tim Althoff and postdoc Jessilyn Dunn will also be speaking at the symposium. Read more and register.
Mobilize Center faculty member Jure Leskovec and colleagues published a paper in Nature this week where they analyzed physical activity data from over 700,000 users of a smartphone fitness app. Their analysis shows that the disparity of physical activity distribution within a country, what they refer to as “activity inequality,” is a better predictor of obesity levels within a country than average activity levels. In other words, the greater the activity inequality or activity disparity is in a country, the higher the prevalence of obesity. They also identify associations between a city’s walkability and activity inequality. Visit http://activityinequality.stanford.edu/ to access findings from the study, including data and code. Read more.
Mobilize Center researchers have just launched a study to learn the best ways to reduce sedentary time and motivate physical activity using activity data from the Pebble smartwatch. Anyone who owns a Pebble smartwatch can participate in the study. Learn more
The Mobilize Center has organized a symposium on “Data Science in Biomechanics” at the 26th Congress of the International Society of Biomechanics (ISB) taking place July 23-27, 2017 in Brisbane, Australia. The symposium will highlight current applications of data science methods in biomechanics research, foster discussions of the challenges and opportunities with biomechanics data, and promote the sharing of data and knowledge within the community. Register to join us.
The two-day mHealth: Moving Toward Impact symposium brought together device and app developers, clinicians, and researchers [link the list of participants to “device and app…researchers”] for thoughtful discussions on how to increase the use of wearable devices for clinical use. Recordings of the public presentations and discussion panel, which discussed the successes and challenges of wearable technologies within clinical and research environments, are available here.
Do you want to automatically identify biomarkers reported within the scientific literature that are related to a particular disease?
Do you have a large collection of text-based documents (e.g., articles, webpages, reports, catalogs) from which you want to create a database of experimentally derived parameters, like P53 concentration levels or tissue stiffness?
Do you want to analyze clinical notes to extract patient-reported functional capabilities related to a given treatment?
In our two-day workshop for “Rapid Biomedical Knowledge Base Construction from Unstructured Data,” you will learn how to use a tool called Snorkel to perform these types of tasks. Snorkel automatically extracts information from unstructured data sources, such as the scientific literature and clinical notes, without using large, labeled training datasets, which are often lacking in biomedicine. The workshop is being held at Stanford University on July 19-20, 2017. Learn more
mHealth Connect aims to improve the use of physical activity wearables and apps for clinical purposes by bringing together device and app developers with a diverse group of clinicians and researchers.
This year we invite the general public to join us on the first day of the event, Tuesday, April 18, 2017, at Stanford University. Connect with device and app developers, clinicians, and researchers who are generating new insights with these devices. Hear how organizations are currently utilizing consumer wearable devices to change the way they operate, the challenges they face, and their vision of the future. Speakers include:
- David Shaywitz – Chief Medical Officer, DNAnexus
Co-Founder and West Coast Innovation Lead,
Center for Assessment Technology and Continuous Health (CATCH), Massachusetts General Hospital
- Michael Snyder – Professor of Genetics, Stanford University
- Spyros Papapetropoulous – Vice President, Global Development Head, Neurodegenerative Diseases and Movement Disorders,
Teva Pharmaceutical Industries
- Laura Wilt – Senior Vice President, Chief Information Officer, Ochsner Health System
- Cedric Hutchings – Vice President, Digital Health, Nokia Technologies
Co-founder and past CEO, Withings
Attendance is free, but you must register in order to attend. If you cannot join in person, you can register to watch the live stream.
Click here for more information about the event.
Mobilize Center graduate student Tim Althoff, Computer Science graduate student Pranav Jindal, and Mobilize Center faculty Jure Leskovec published a research paper in Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017), where they investigated the effect of social networks on users’ online and offline behaviors, including user engagement, retention, and physical activity levels.
The results are based on an analysis of data from 6 million people from over 100 countries collected over a 5-year period using the physical activity tracking application Argus. Althoff and colleagues found that participating in the social network increases both in-application activity as well as physical activity levels. They were also able to take advantage of a natural experiment within the dataset to distinguish between correlation and causation.
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