The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility

By J. Ku, Jennifer L. Hicks, Trevor J. Hastie, Jure Leskovec, Christopher R'e, Scott L. Delp. 2015

34 citations recorded by the source corpus.

Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center (http://mobilize.stanford.edu) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. The Center is organized around 4 data science research cores: biomechanical modeling, statistical learning, behavioral and social modeling, and integrative modeling. Important biomedical applications, such as osteoarthritis and weight management, will focus the development of new data science methods. By developing these new approaches, sharing data and validated software tools, and training thousands of researchers, the Mobilize Center will transform human movement research.

Subfields: Computer Vision and Pattern Recognition, General Health Professions, Physiology, Medical & Health AI

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

  1. Christopher R'e
  2. Alexander J. Ratner
  3. Sen Wu
  4. Henry R. Ehrenberg
  5. Stephen H. Bach
  6. Jason Alan Fries
  7. Braden Hancock
  8. Paroma Varma

In Medical & Health AI

  1. Christopher R'e
  2. Stephen H. Bach

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