The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility.
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.
Department of Bioengineering, Stanford University, Stanford, California, USA.
Joy P
JP
Ku
Department of Bioengineering, Stanford University, Stanford, California, USA.
Jennifer L
JL
Hicks
Department of Statistics, Stanford University, Stanford, California, USA Department of Biostatistics, Stanford University, Stanford, California, USA.
Trevor
T
Hastie
Department of Computer Science, Stanford University, Stanford, California, USA.
Jure
J
Leskovec
Department of Computer Science, Stanford University, Stanford, California, USA.
Christopher
C
Ré
Department of Bioengineering, Stanford University, Stanford, California, USA Department of Mechanical Engineering, Stanford University, Stanford, California, USA Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA.
Scott L
SL
Delp
D035843:Biomedical Research; D066264:Datasets as Topic; D006801:Humans; D009043:Motor Activity / Q000502:physiology*; D009068:Movement / Q000502:physiology*; D009316:National Institutes of Health (U.S.); D057170:Translational Research, Biomedical; D014481:United States
biomechanics; machine learning; obesity; physical activity; wearable sensors