*Join Our Next Webinar "Automating OpenSim Workflows: An Intro to the OpenSim API in Matlab"* *July 7, 2020 at 10:00am PDT* We invite you to join us for a webinar featuring Christopher Dembia from Stanford University. In this webinar, Dr. Dembia from the OpenSim development team will introduce you to OpenSim’s Application Programming Interface (API) in Matlab, starting from the very basics. He will discuss how to build a point-mass model, simulate it, and then analyze the simulation. He will also discuss key concepts, such as the difference between a Model and its State. For the hour following the webinar, those interested in trying the example for themselves can participate in virtual office hours. Anyone interested in this (optional) part of the webinar should set-up OpenSim for Matlab <https://simtk-confluence.stanford.edu/display/OpenSim/Scripting+with+Matlab#ScriptingwithMatlab-MatlabSetupSettingupyourMatlabScriptingEnvironment> before the webinar. Learn more and register <https://stanford.webex.com/stanford/onstage/g.php?MTID=ef0292aee60cb5c3000ed0e6d8a273cdf> . *Learn About the OpenSim API and Static Optimization with a New Example* We recently created a new example that guides you through the process of writing your own code to perform static optimization in Matlab via the OpenSim API. The development of this new example was led by Nick Bianco, a PhD student at Stanford University. By working through this lab, you will learn the basics of the static optimization problem, become familiar with using the OpenSim API through MATLAB, and learn how to write your own static optimization code. Try the new example <https://simtk-confluence.stanford.edu/display/OpenSim/Custom+Static+Optimization+in+MATLAB> . *Using Pre-Operative Gastrocnemius Lengths to Predict Outcomes of Gastrocnemius Lengthening Surgery* Apoorva Rajagopal and colleagues, in a collaboration between Stanford University, the University of Minnesota, and Gillette Children's Specialty Healthcare, have used gastrocnemius lengths predicted via an OpenSim model to predict gait changes following gastrocnemius lengthening surgery in children with cerebral palsy. The paper was recently published in *PLOS ONE* and is accompanied by the motion data used in the study and an Excel spreadsheet that allows the calculation of gastrocnemius lengths from clinical gait analysis data. Read more <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233706> . -- *Jennifer Hicks, Ph.D.* Director of Data Science | Mobilize Center <http://mobilize.stanford.edu> Associate Director | NCSRR <http://www.stanford.edu/group/opensim/about/index.html> R&D Manager | OpenSim <http://opensim.stanford.edu/> Stanford University 650-498-4403 | jenhicks@stanford.edu