Stanford University’s leading data science and biomedical researchers will tackle key bottlenecks in big data integration and analytics for biomedical research. Learn more.
Analysis of movement data from wearable sensors, smartphones, clinics, and research labs will help improve human movement across a wide range of conditions. Learn more.
The Mobilize Center will engage the biomedical and data science communities by sharing software and data and providing extensive training opportunities. Learn more.
- Wearable biosensors can measure physiological changes and reveal useful health information
January 13, 2017
- OpenSim simulations yield insights into the design of assistive devices to reduce the metabolic cost of running
October 25, 2016
- Analysis of 600,000+ crisis hotline text messages identifies successful counseling techniques
October 18, 2016
- Women in Data Science (WiDS) conference registration now open
October 14, 2016
- Announcing Workshop on Machine Learning for Health @ NIPS 2016
October 14, 2016
- NIH Rehabilitation Research Conference Highlights Role of Technology and Big Data
May 24, 2016
- New Issue of BCR Highlights Data’s Identity Crisis
April 20, 2016
- Abby King Discusses the Key for Behavior Change at mHealth Connect
March 23, 2016
Meet the Team
The Mobilize Center has assembled an outstanding team of researchers from Stanford University who will work closely with partners in industry, clinics, and other academic institutions to achieve our vision. See everyone involved.
The US National Cancer Institute's recruiting a Program Director w/ expertise in eHealth/mHealth or connected health ow.ly/wQmR30885z3
Wearable biosensors can measure physiological changes and reveal useful health information ow.ly/16vi508ybZX
Call for papers - 7th International Digital Health Conference in London (Jul 2-5, 2017). Apply by Feb 13, 2017: ow.ly/93sV307PUPQ
2017 Summer mHealth Training Institute at UCLA for project-based mHealth training for researchers. Apply by Jan 29 ow.ly/pcqC3075Y8n
Apply for a postdoc position in Rehabilitation Robotics at Functional & Applied Biomechanics Section of NIH. ow.ly/5dwg307h1kH