Main topics: Imaging, instrumentation and sensors for model generation and identification Experimental methods for models validation Information Technology applications to computational bioengineering Subject-specific and population-based modeling methods Predictive models in: Body, organ, tissue, and cell biomechanics Metabolism and adaptation Neurosciences and cognitive / perceptual behavior Biomolecular and subcellular engineering Multiscale modeling theory and practice Applications to diagnosis, prognosis, treatment, monitoring and rehabilitation Data management and modeling tools New numerical methods and computational tools Probabilistic and optimization methods in bioengineering Analysis and design of advanced biomedical devices Identification of new methods for integrating fabrication technologies with analysis of implants Multiscale modeling and integrative research